研究業績
１．著書
1. 「進化技術ハンドブック 第一巻 基礎編」，近代科学社，2010，共著（総ページ数240）執筆担当：第12章7節（遺伝的ネットワークプログラミング，p. 162-165）, 第14章6節（強化学習とGNP，p.193-195）, 第14章9節（一般化学習ネットワーク，p. 204-209）
2. 「進化技術ハンドブック 第三巻」，近代科学社，2012，共著 （総ページ数282）執筆担当：第32章3節（遺伝的ネットワークプログラミングによる株式売買戦略，p. 737-744）
２．学術雑誌論文 （査読有）
1. 遺伝的ネットワークプログラミングのオンライン学習, 間普真吾, 平澤宏太郎, 胡敬炉, 村田純一,電気学会論文誌C, Vol. 122-C, No. 3, pp. 355–362, 2002.
2. An Extended Lotka–Volterra Model Based on Fuzzy Symbiosis and Fuzzy Spatial Distribution, K. Hirasawa, J. Hu, N. Kusumi and S. Mabu, Machine Intelligence & Robotic Control, Vol. 4, No.2, pp.49–59, 2002.
3. Online Learning of Genetic Network Programming and its Application to Prisoner's Dilemma Game, S. Mabu, K. Hirasawa, J. Hu and J. Murata, IEEJ Trans., Vol. 123-C, No. 3, pp. 535–543, 2003.
4. 進化学習型遺伝的ネットワークプログラミングとそのタイルワールド問題への適用, 間普真吾, 平澤宏太郎, 古月敬之,計測自動制御学会論文集, Vol. 40, No. 11, pp. 1105–1113, 2004.
5. Genetic Network Programming for Automatic Program Generation, S. Mabu, K. Hirasawa, Y. Matsuya and J. Hu, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 9, No. 4, pp. 430–436, 2005.
6. プログラムサイズ可変型マクロノードつき遺伝的ネットワークプログラミング, 間普真吾, 畠山裕之, 中越洋, 平澤宏太郎, 古月敬之, 電気学会論文誌C, Vol. 126, No. 4, pp. 3207–3217, 2006.
7. Propagation and Control of Stochastic Signals through Universal Learning Networks, K. Hirasawa, S. Mabu and J. Hu, Neural Networks, Vol.19, pp. 487–499, 2006.
8. Genetic Network Programming with Reinforcement Learning and Its Application to Making Mobile Robot Behavior, S. Mabu, H. Hatakeyama, Moe Thu Thu, K. Hirasawa and J. Hu, IEEJ Trans. EIS, Vol. 126, No. 8, pp. 1009–1015, 2006.
9. 重要度指標付きGenetic Network Programmingにおける機能切換えについて, 江藤慎治, 畠山裕之, 間普真吾, 平澤宏太郎, 古月敬之, 情報処理学会論文誌, Vol. 47, No. 9, pp. 2860–2868, 2006.
10. A Double-Deck Elevator Group Supervisory Control System with Destination Floor Guidance System Using Genetic Network Programming, L. Yu, J. Zhou, S. Mabu, K. Hirasawa, J. Hu, Sandor Markon, IEEJ Trans. EIS, Vol. 127, No. 7, pp. 1115-1122, 2007
11. Optimization Method RasID-GA for Numerical Constrained Optimization Problems, D. Sohn, S. Mabu, K. Hirasawa and J. Hu, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 11, No. 5, pp. 469-477, 2007
12. An Approximate Stability Analysis of Nonlinear Systems Described by Universal Learning Networks, K. Hirasawa, S. Mabu, Shinji Eto and J. Hu, Applied Soft Computing, Vol. 7, pp. 642–651, 2007.
13. ローソク足チャートを用いたGenetic Network Programmingによる株式売買モデル, 間普真吾, 泉良裕, 平澤宏太郎, 古月敬之, 計測自動制御学会論文集, Vol. 43, No. 4, pp. 317-322, 2007
14. Elevator Group Supervisory Control System Using Genetic Network Programming with Macro Nodes and Reinforcement Learning, Jin Zhou, L. Yu, S. Mabu, K. Hirasawa, J. Hu and S. Markon, IEEJ Trans. EIS, Vol. 127, No. 8, pp. 1234-1242, 2007/8
15. マルチブランチ構造を有するリカレントニューラルネットワーク,山下貴志, 間普真吾, 平澤宏太郎, 古月敬之, IEEJ Trans. EIS, Vol. 127, No. 9, pp. 1430-1435, 2007
16. 強化学習と重要度指標を用いた遺伝的ネットワークプログラミングによる株式売買モデル, 間普真吾, 平澤宏太郎, 古月敬之,電気学会論文誌C, Vol. 127, No. 7, pp. 1061-1067, 2007
17. A Graph-Based Evolutionary Algorithm: Genetic Network Programming (GNP) and Its Extension Using Reinforcement Learning, S. Mabu, K. Hirasawa and J. Hu, Evolutionary Computation, MIT Press, Vol. 15, No. 3, pp. 369-398, 2007
18. Double-Deck Elevator Group Supervisory Control System Using Genetic Network Programming with Ant Colony Optimization with Evaporation, L. Yu, J. Zhou, S. Mabu, K. Hirasawa, J. Hu and S. Markon, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 11, No. 9, pp. 1149-1158, 2007
19. A Global Optimization Method RasID-GA for Neural Network Training, D. Sohn, S. Mabu, K. Shimada, K. Hirasawa and J. Hu, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 12, No. 1, pp. 85-93, 2008
20. A Genetic Network Programming Based Method to Mine Generalized Association Rules with Ontology, G. Yang, K. Shimada, S. Mabu, K. Hirasawa and J. Hu, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 12, No. 1, pp. 63-76, 2008
21. Association Rule Mining for Continuous Attributes using Genetic Network Programming, K. Taboada, E. Gonzales, K. Shimada, S. Mabu, K. Hirasawa and J. Hu, IEEJ Trans Vol. 3, No. 2, pp. 199—211, 2008/3
22. Actor-Criticを用いた遺伝的ネットワークプログラミングの小型移動ロボットの行動生成における性能評価, 間普真吾, 平澤宏太郎, 畠山裕之, 古月敬之,計測自動制御学会論文集, Vol. 44, No. 4, pp. 343-350, 2008/4
23. 遺伝的ネットワークプログラミングによる不完全データベースからのクラス相関ルールの抽出, 嶋田香, 間普真吾, 森川英治, 平澤宏太郎, 古月敬之,電気学会論文誌C, Vol. 128, No. 5, pp. 795-803, 2008/5
24. Comparative Association Rules Mining Using Genetic Network Programming (GNP) with Attributes Accumulation Mechanism and its Application to Traffic Systems, W. Wei, H. Zhou, K. Shimada, S. Mabu and K. Hirasawa, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 12, No. 4, pp. 393-403, 2008
25. Time Related Association Rules Mining with Attributes Accumulation Mechanism and its Application to Traffic Prediction, H. Zhou, W. Wei, Kaoru, Shimada, S. Mabu and K. Hirasawa, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 12, No. 5, pp. 467-478, 2008
26. Optimal Route Based on Dynamic Programming for Road Networks, M. K. Mainali, K. Shimada, S. Mabu and K. Hirasawa, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 12, No. 6, pp. 546-553, 2008
27. 擬似イントロンノードを用いた遺伝的ネットワークプログラミング, 間普真吾, 陳艶，江藤慎治, 嶋田香, 平澤宏太郎, 電気学会論文誌C, Vol. 128, No. 8 , pp. 1312-1319, 2008/8
28. フラグノードおよび重要度指標の調整を用いた遺伝的ネットワークプログラミングによる株式売買ルールの生成, 間普真吾, 陳艶, 平澤宏太郎, 電気学会論文誌C, Vol. 128, No. 9, pp. 1462-1469, 2008/9
29. A Traffic Flow-Adaptive Controller of Double-Deck Elevator Systems using Genetic Network Programming, J. Zhou, L. Yu, S. Mabu, K. Shimada, K. Hirasawa, S. Markon, Transactions on Electrical and Electronic Engineering (TEEE), Vol. 3, No. 6, pp. 703-714, 2008
30. Enhancing the generalization ability of neural networks through controlling the hidden layers, W. Wan, S. Mabu, K. Shimada, K. Hirasawa and J. Hu, Applied Soft Computing, Vol. 9, 404-414, 2009
31. Study of multi-branch structure of Universal Learning Networks, S. Mabu, K. Shimada, K. Hirasawa and Jinglu Hu, Applied Soft Computing, Vol. 9, pp. 393-403, 2009
32. Genetic Network Programming with Rules, F. Ye, L. Yu, S. Mabu, K. Shimada and K. Hirasawa, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 13, No. 1, pp. 16-24, 2009
33. A Nonlinear Model to Rank Association Rules Based on Semantic Similarity And Genetic Network Programming, G. Yang, K. Shimada, S. Mabu and K. Hirasawa, IEEJ Transactions on Electrical and Electronic Engineering (TEEE), Vol. 4, No. 1, pp. 1-8, 2009
34. Real Time Updating Genetic Network Programming for Adapting to the Change of Stock Prices, Y. Chen, S. Mabu, K. Shimada and K. Hirasawa, 電気学会論文誌C, Vol. 129, No. 2, pp. 344-354, 2009.
35. Stock Price Prediction using Neural Networks with RasID-GA, S. Mabu, Y. Chen, D. Sohn, K. Shimada, K. Hirasawa, IEEJ Transaction on Electrical and Electronic Engineering, Vol. 4, No. 3, pp. 392-403, 2009
36. A Portfolio Optimization Model using Genetic Network Programming with Control Nodes, Y. Chen, E. Ohkawa, S. Mabu, K. Shimada, K. Hirasawa, Expert Systems with Applications, Vol. 36, pp. 10735-10745, 2009
37. Q Value-Based Dynamic Programming with Boltzmann Distribution for Global Optimal Traffic Routing Strategy, S. Yu, S. Mabu, F. Ye, H. Wang, K. Shimada, K. Hirasawa, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 13, No. 5, pp. 581-591, 2009
38. Combination of Two Evolutionary Methods for Mining Association Rules in Large and Dense databases, E. Gonzales, K. Taboada, S. Mabu, K. Shimada and K. Hirasawa, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 13, No. 5, pp. 561-572, 2009
39. Genetic Network Programming with Rule Accumulation and Its Application to Tile-World Problem, L. Wang, S. Mabu, F. Ye, S. Eto, X. Fan, K. Hirasawa, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 13, No. 5, pp. 551-572, 2009
40. Global Optimal Routing Algorithm for Traffic Systems with Multiple ODs, Y. Wang, S. Mabu, S. Eto and K. Hirasawa, Journal of Advanced Computational Intelligence and Intelligent Informatics Vol. 13, No. 6, 704-712, 2009
41. Traffic Flow Prediction with Genetic Network Programming (GNP), H. Zhou, S. Mabu, W. Wei, K. Shimada and K. Hirasawa, Journal of Advanced Computational Intelligence and Intelligent Informatics Vol. 13, No. 6, 713-725, 2009
42. 重要度指標と調整ノードによる機能局在型Genetic Network Programming, 間普真吾, 江藤慎治, 嶋田香, 平澤宏太郎, Journal of Signal Processing, Vol.14, No. 1, pp. 49-59, 2010
43. Intertransaction Class Association Rule Mining Based on Genetic Network Programming and Its Application to Stock Market Prediction, Y. Yang, S. Mabu, K. Shimada and K. Hirasawa, SICE Journal of Control, Measurement, and System Integration (SICE JCMSI), Vol. 3, No. 1, pp. 50-58, 2010
44. Time Related Class Association Rule Mining and Its Application to Traffic Prediction, H. Zhou, S. Mabu, W. Wei, K. Shimada, K. Hirasawa, IEEJ EIS, Vol. 130, No. 2, pp. 289-301, 2010
45. A model of portfolio optimization using time adapting genetic network programming, Y. Chen, S. Mabu and K. Hirasawa, Computers and Operations Research, Vol. 37, No. 10, pp. 1697-1707, 2010
46. Multiple-Round English Auction Agent Based on Genetic Network Programming, C. Yue, S. Mabu, Y Wang, K Hirasawa, IEEJ Trans. on Electrical and Electronic Engineering, Vol. 5, pp. 450-458, 2010
47. An Evolutionary Negotiation Model using Genetic Network Programming, T. Hossain, S. Mabu、K. Hirasawa, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 14, No. 2, pp. 215-223, 2010/2
48. Mining Fuzzy Association Rules: A General Model Based on Genetic Network Programming and its Applications, K. Taboada, S. Mabu, E. Gonzales, K. Shimada and K. Hirasawa, IEEJ Transactions on Electrical and electronic Engineering, Vol. 5, No. 3, 343-354, 2010
49. Genetic Network Programming with Reconstructed Individuals, F. Ye, S. Mabu, L. Wang, S. Eto and K. Hirasawa, SICE Journal of Control, Measurement, and System Integration (SICE JCMSI), Vol. 3, No.2, pp. 121-129, 2010
50. Genetic Network Programming with Estimation of Distribution Algorithms for Class Association Rule Mining in Traffic Prediction, X. Li, S. Mabu, H. Zhou, K. Shimada, K Hirasawa, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 14, No. 5, pp. 497-509, 2010
51. A Double-Deck Elevator Systems Controller with Idle Cage Assignment Algorithm Using Genetic Network Programming, S. Mabu, L. Yu, J. Zhou, S. Eto, K. Hirasawa, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 14, No. 5, pp. 487-496, 2010
52. Evolving Asset Portfolios by Genetic Relation Algorithm, V. Parque, S. Mabu, K Hirasawa, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 14, No. 5, pp. 464-474, 2010
53. A Novel Taxi Dispatch System Integrating a Multiple-Customer Strategy and Genetic network Programming, Q. Meng, S. Mabu, L. Yu, K. Hirasawa, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 14, No. 5, pp. 442-452, 2010
54. EvoCMAR: A New Evolutionary Method to Directly Mine Association Rules for Classification, G. Yang, S. Mabu, K. Shimada and K. Hirasawa, IEEJ Trans. on Electrical and Electronic Engineering, Vol. 5, pp.574-585, 2010
55. Network Intrusion detection Using Class Association Rule Mining Based on Genetic Network Programming, C. Chen, S. Mabu, K. Shimada and K. Hirasawa, IEEJ Trans. on Electrical and Electronic Engineering, Vol. 5, pp.553-559, 2010
56. Efficient Pruning of Class Association Rules Using Statics and Genetic Relation Algorithm, E. Gonzales, S. Mabu, K. Taboada, K. Shimada, K. Hirasawa, SICE JCMSI, Vol. 3, No. 5, pp. 336-345, 2010/9
57. Towards the Maintenance of Population Diversity: A Hybrid Probabilistic Model Building Genetic Network Programming, X. Li, S. Mabu and K. Hirasawa,進化計算学会論文誌, Vol. 1, No. 1, pp. 89-101, 2010/12
58. Genetic Network Programming with Automatic Program Generation for Agent Control, B. Li, S. Mabu and K. Hirasawa, 進化計算学会論文誌, Vol. 1, No. 1, pp. 43-53, 2010/12
59. Dynamic Optimal Route Search Algorithm for Car Navigation Systems with Preferences by Dynamic Programming, M. K. Mainali, S. Mabu, S. Yu, S. Eto and K. Hirasawa, IEEJ Trans. on Electrical and Electronic Engineering, Vol. 6, No. 1, pp. 14-22, 2011
60. No Time Limit and Time Limit Model of Multiple Round Dutch Auction Based on Genetic Network Programming, S. Mabu, D. Yu, C. Yue and K. Hirasawa, Journal of Advanced computational Intelligence and Intelligent Informatics, Vol. 15, No. 1, pp. 3-12, 2011
61. Efficient Program Generation by evolving Graph Structures with Multi-Start Nodes, S. Mabu and K. Hirasawa, Applied Soft Computing, Vol. 11, No. 4, pp. 3618-3624, 2011
62. Multicar Elevator Group Supervisory Control System using Genetic Network Programming, L. Yu, S. Mabu and K. Hirasawa, IEEJ Transactions on Electrical and Electronic Engineering, Vol. 6, No. S1, pp. S65-S73, 2011
63. An efficient Processing Method for Suboptimal Route Computation, F. Wen, S. Mabu and K. Hirasawa, IEEJ Transactions on Electrical and Electronic Engineering, Vol. 6, No. S1, pp. S50-S56, 2011
64. A Genetic Algorithm Based Clustering Method for Optimal Route Calculation on Multilevel Networks, F. Wen, S. Mabu and K. Hirasawa, SICE Journal of Control, Measurement, and System Integration, Vol. 4, No. 1, pp. 83-88, 2011
65. Evolutionary Selection of Interesting Class Association Rules Using Genetic Relation Algorithm, E. Gonzales, S. Mabu, K. Taboada, K. Shimada and K. Hirasawa, IEEJ Transactions on Electrical and Electronic Engineering, Vol. 6, No. 5, pp. 431-440, 2011
66. Analysis of Energy Consumption of Elevator group Supervisory Control System Based on Genetic Network Programming, L. Yu, S. Mabu, K. Hirasawa and T. Ueno, IEEJ Transactions on Electrical and Electronic Engineering, Vol. 6, No. 5, pp. 414-423, 2011
67. MBFP Generalized Association Rule Mining and Classification in Traffic Volume Prediction, H. Zhou, S. Mabu, K. Shimada and K. Hirasawa, IEEJ Transactions on Electrical and Electronic Engineering, Vol. 6, No. 5, pp. 457-467, 2011
68. Enhancing Bidding Strategy Using Genetic Network Programming in Agent-Based Multiple Round English Auction, C. Yue, S. Mabu and K. Hirasawa, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 15, No. 7, pp. 747-758, 2011
69. Fuzzy Genetic Network Programming with Noises for Mobile Robot Navigation, S. Sendari, S. Mabu, A. Tjahjadi and K. Hirasawa, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 15, No. 7, pp. 767-776, 2011
70. An Intrusion-Detection Model Based on Fuzzy Class-Association-Rule Mining Using Genetic Network Programming, S. Mabu, C. Chen, N. Lu, K. Shimada and K. Hirasawa, IEEE Trans. on Systems, Man, and Cybernetics, Part C: Applications and Reviews, Vol. 41, No. 1, pp. 130-139, 2011
71. Multiple Action Sequence Learning and Automatic Generation for a Humanoid Robot Using RNNPB and Reinforcement Learning, Takashi Kuremoto, Koichi Hashiguchi, Keita Morisaki, Shun Watanabe, Kunikazu Kobayashi, Shingo Mabu, Masanao Obayashi, A Journal of Software Engineering and Applications, Vol. 5, pp. 128-133, 2012
72. Genetic Network Programming with Subroutines for Automatic Program Generation, Bing Li, Shingo Mabu, Kotaro Hirasawa, IEEJ Transactions on Electrical and Electronic Engineering, Vol. 7 No. 2, pp. 197-207, 2012
73. An Explicit Memory Scheme of Genetic Network Programming, S. Mabu, F. Ye and K. Hirasawa, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 16, No. 7, pp. 851-863, 2012
74. Multi-order Rule Accumulation for an Agent Control Problem in Non-Markov Environments, Lutao Wang, Shingo Mabu, Kotaro Hirasawa, IEEJ Transactions on Electronics, Information and Systems, Vol. 132, No. 11, pp. 1819-1828, 2012
75. Pruning of Redundant Information to Improve Performance for Agent Control in A Changing Environment, Lutao Wang, Shingo Mabu, Wei Xu, Kotaro Hirasawa, IEEJ Transactions on Electronics, Information and Systems, Vol. 132, No. 11, pp. 1829-1839, 2012
76. Distance-based Classification using Average Matching Degree and its Application to Intrusion Detection Systems, Nannan Lu, Shingo Mabu, Kotaro Hirasawa, IEEJ Transactions on Electronics, Information and Systems, Vol. 132, No.12, pp. 2033-2042, 2012
77. Adaptability Analysis of Genetic Network Programming with Reinforcement Learning in Dynamically Changing Environments, S. Mabu, A. Tjahjadi and K. Hirasawa, Expert Systems with Applications, Vol. 39, No. 16, pp. 12349-12357, 2012
78. Cooperative Coevolutionary Stock Trading Model Using Genetic Network Programming-Sarsa, Yang Yang, Zhaoping He, Shingo Mabu and Kotaro Hirasawa, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 16, No. 5, pp. 581-590, 2012
79. A Genetic Network Programming-based Bidding Strategy with Adjusting Parameters for Large-scale Continuous Double Auction, Chuan Yue, Shingo Mabu, Kotaro Hirasawa, 電気学会論文誌C, Vol. 133, No. 2, pp. 388-397, 2013
80. An Efficient Class Association Rule-Pruning Method for Unified Intrusion Detection System using Genetic Algorithm, Nannan Lu, Shingo Mabu, Tuo Wang, Kotaro Hirasawa, IEEJ Transactions on Electrical and Electronic Engineering, Vol. 8, issue 2, pp. 164-172, 2013
81. Two-Stage Reinforcement Learning on Credit Branch Genetic Network Programming for Mobile Robots, Siti Sendari, Shingo Mabu, Kotaro Hirasawa, IEEJ Transactions on Electronics, Information and Systems, Vol 133, No. 4, pp. 856-863, 2013
82. An Evolutionary Model of Multilateral Negotiation System, Md. Tofazzal Hossain, Shingo Mabu and Kotaro Hirasawa, IEEJ Transactions on Electronics, Information and Systems, Vol. 133, No. 6, pp. 1229-1241, 2013
83. Enhanced Decision Making Mechanism of Rule-based Genetic Network Programming for Creating Stock Trading Signals, Shingo Mabu, Kotaro Hirasawa, Masanao Obayashi, Takashi Kuremoto, Expert Systems with Applications, Vol. 40, No. 16, pp. 6311-6320, 2013
84. An Improved Reinforcement Learning System Using Affective Factors, Takashi Kuremoto, Tetsuya Tsurusaki, Kunikazu Kobayashi, Shingo Mabu and Masanao Obayashi, Robotics, Vol. 2, pp. 149-164, 2013
85. One-D-R-A-G-SOM and its Application to a Hand Shape Instruction Learning System, Takashi Kuremoto, Takuhiro Otani, Shingo Mabu and Masanao Obayashi, International Journal of Networked and Distributed Computing, Vol. 2, No. 3, pp. 166-174, 2014
86. マルコフ情動モデルを備えたロボットの行動決定法,綿田将悟，大林正直，呉本尭，小林邦和，間普真吾, 電気学会論文誌C, Vol. 134, No. 1, pp. 85-93, 2014
87. Rule Pool Updating Through Sarsa-learning to Improve Adaptability in Changing Environments, Lutao Wang, Shingo Mabu and Kotaro Hirasawa, IEEJ Transactions on Electrical and Electronic Engineering, Vol. 9, issue 2, pp. 183-189, 2014
88. A Novel Graph-Based Estimation of Distribution Algorithm and Its Extension Using Reinforcement Learning, Xianneng Li, Shingo Mabu, and Kotaro Hirasawa, IEEE Trans. on Evolutionary Computation, Vol. 18, No. 1, pp. 183-189, 2014
89. 自己融合小脳パーセプトロン改良モデル利用型制御システムとその合意問題への適用,内山祥吾，大林正直，呉本尭，小林邦和，間普真吾, 電気学会論文誌C, Vol. 134, No. 7, pp. 990-998, 2014
90. A Variable Size Mechanism of Distributed Graph Programs and Its Performance Evaluation in Agent Control Problems, Shingo Mabu, Kotaro Hirasawa, Masanao Obayashi, Takashi Kuremoto, Expert Systems with Applications, Vol. 41, No. 4, pp. 1663-1671, 2014
91. MCNNとSOMを用いた動画像の記銘と動的想起,渡邊駿，呉本尭，小林邦和，間普真吾，大林正直, 電気学会論文誌C, Vol. 135, No. 4, pp. 414-422, 2015
92. Reinforcement Learning with Symbiotic Relationships for Multiagent Environments, Journal of Robotics, Shingo Mabu, Masanao Obayashi and Takashi Kuremoto, Networks and Artificial Life, Vol. 2, No. 1, pp.40-45, 2015/4
93. Online Rule Updating System Using Evolutionary Computation for Managing Distributed Database, Wirarama Wedashwara, Shingo Mabu, Masanao Obayashi, Takashi Kuremoto, Journal of Robotics, Networks and Artificial Life, Vol. 2, No. 2, pp. 73-78, 2015/6
94. Elman Type Recurrent Neural Nework with Parametric Bias and its Application to Multi-Action Learning of Robot, Takashi Kuremoto, Keita Morisaki, Kunikazu Kobayashi, Shingo Mabu, Masanao Obayashi, ICIC Express Letters Part B: Applications -An International Journal of Research and Surveys, Vol. 6, No. 9, pp. 2361-2369, 2015/9
95. A Class Association Rule Based Classifier Using Probability Density Functions for Intrusion Detection Systems, Shingo Mabu, Wenjing Li and Kotaro Hirasawa, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 19, No. 4, pp. 555-566, 2015
96. Ensemble Learning of Rule-based Evolutionary Algorithm Using Multi Layer Perceptron for Supporting Decisions in Stock Trading Problems, Shingo Mabu, Masanao Obayashi and Takashi Kuremoto, Applied Soft Computing, Vol. 36, pp. 357-367, 2015
97. Combination of Genetic Network Programming and Knapsack Problem to Support Record Clustering on Distributed Databases, Wirarama Wedashwara, Shingo Mabu, Masanao Obayashi, Takashi Kuremoto, Expert Systems with Applications, Vol. 46, No. 15, pp.15-23, 2016/3
98. 深層学習と線形モデルを併用した時系列予測手法，平田貴臣，呉本尭，大林正直，間普真吾，小林邦和 ，電気学会論文誌C，Vol. 136，No. 3，pp. 348-356, 2016/3
99. An Optimization of Spatio-Spectral Filter Bank Design for EEG Classification, Masanao Obayashi, Takuya Geshi, Takashi Kuremoto and Shingo Mabu, Journal of Robotics, Networking and Artificial Life, Vol. 2, No. 4, pp. 217-220, 2016/3
100. A Hand Shape Instruction Recognition and Learning System using Growing SOM with Asymmetric Neighborhood Function, Takashi Kuremoto, Takuhiro Otani, Masanao Obayashi, Kunikazu Kobayashi and Shingo Mabu, Neurocomputing, Vol. 188, No. 5, pp. 31-41, 2016/5
101. A random-forests-based classifier using class association rules and its application to an intrusion detection system, Shingo Mabu, Shun Gotoh, Masanao Obayashi, Takashi Kuremoto, Artificial Life and Robotics, Springer, 2016/6
102. An Evolutionary Algorithm for Making Decision Graphs for Classification Problems, Shingo Mabu, Masanao Obayashi and Takashi Kuremoto, Journal of Robotics, Networking and Artificial Life, Vol. 3, No. 1, pp. 45-49, 2016/6 (to appear)
３．国際会議プロシーディングス（査読有）
1. Online Learning of Genetic Network Programming (GNP), S. Mabu, K. Hirasawa, J. Hu and Junichi Murata, IEEE Congress on Evolutionary Computation 2002, pp. 321–326, 2002/5.
2. Genetic Network Programming with Automatically Generated Macro Nodes (GNP with AGMs), H. Nakagoe, S. Mabu, K. Hirasawa and J. Hu, SICE Annual Conference 2003, pp. 1486–1491, 2003/8.
3. Genetic Network Programming with Learning and Evolution for adapting to Dynamical Environments, S. Mabu, K. Hirasawa and J. Hu, IEEE Congress on Evolutionary Computation 2003, pp. 69–76, 2003/12.
4. Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation, S. Mabu, K. Hirasawa and J. Hu, Genetic and Evolutionary Computation Conference 2004, Part II pp. 710–711, 2004/6.
5. Genetic Network Programming with Actor-Critic and its Application, S. Mabu, K. Hiasawa and J. Hu, SICE Annual Conference 2005, pp. 3635–3640, 2005/8.
6. Trading Rules on the Stock Markets using Genetic Network Programming with Candlestick Chart, Y. Izumi, T. Yamaguchi, S. Mabu, K. Hirasawa, J. Hu, IEEE Congress on Evolutionary Computation 2006, pp. 8531-8536, 2006/7.
7. RasID-GA with Simplex Crossover (SPX) for Optimization problems, D. Sohn, S. Mabu, K. Hirasawa, J. Hu, IEEE Congress on Evolutionary Computation 2006, pp. 10378-10385, 2006/7.
8. Genetic Network Programming with Reinforcement Learning Using Sarsa Algorithm, S. Mabu, H. Hatakeyama, K. Hirasawa and J. Hu, IEEE Congress on Evolutionary Computation 2006, pp. 5686–5692, 2006/7.
9. A Double-deck elevator Group Supervisory Control System with Destination Floor Guidance System using Genetic Network Programming, L. Yu, J. Zhou, S. Mabu, K. Hirasawa, J. Hu, SICE-ICASE 2006, pp. 5089–5094 , 2006/10.
10. Self-Adaptive Mechanism in Genetic Network Programming for Mining Association Rules, K. Taboada, K. Shimada, S. Mabu, K. Hirasawa, J. Hu, SICE-ICASE 2006, pp. 6007–6012, 2006/10.
11. Constrained Global Optimization Problems by RasID-GA, D. Sohn, S. Mabu, K. Hirasawa, J. Hu, SICE-ICASE 2006, pp. 5509–5514, 2006/10.
12. Genetic Network Programming with Actor-Critic and Its Application to Stock Trading Model, S. Mabu, Y. Chen, K. Hirasawa and J. Hu, 2007 Genetic and Evolutionary Computation Conference (GECCO2007), University College London, London, England, pp. 2263, 2007/7.
13. Association Rule Mining for Continuous Attributes using Genetic Network Programming, K. Taboada, K. Shimada, S. Mabu, K. Hirasawa and J. Hu, 2007 Genetic and Evolutionary Computation Conference (GECCO2007), University College London, London, England, pp. 1758, 2007/7.
14. Trading Rules on Stock Markets Using Genetic Network Programming with Sarsa Learning, Y. Chen, S. Mabu, K. Hirasawa and J. Hu, 2007 Genetic and Evolutionary Computation Conference (GECCO2007), University College London, London, England, pp. 1503, 2007/7.
15. Effects of Passenger’s Arrival Distribution to Double-Deck Elevator Group Supervisory Control Systems using Genetic Network Programming, L. Yu, J. Zhou, S. Mabu, K. Hirasawa, J. Hu and S. Markon, 2007 Genetic and Evolutionary Computation Conference (GECCO2007), University College London, London, England, pp. 1476-1483, 2007/7.
16. Hierarchical Association Rule Mining in Large and dense Database using Genetic Network Programming, E. Gonzales, K. Shimada, S. Mabu, K. Hirasawa, J. Hu, SICE Annual Conference 2007, Kagawa, Japan, pp. 2386-2693, 2007/8.
17. Buying and Selling Stocks of Multi Brands using Genetic Network Programming with control nodes, Z. Bao, S. Mabu, K. Hirasawa, J. Hu, SICE Annual Conference 2007, Kagawa, Japan, pp. 1569-1576, 2007/8.
18. Training of Multi-Branch Neural Networks using RasID-GA, D. Sohn, S. Mabu, K. Shimada, K. Hirasawa, J. Hu, 2007 IEEE Congress on Evolutionary Computation (CEC2007), Singapore, pp. 2064-2070 , 2007/9.
19. Stock Trading Rules Using Genetic Network Programming with Actor-Critic, S. Mabu, Y. Chen, K. Hirasawa, J. Hu, 2007 IEEE Congress on Evolutionary Computation (CEC2007), Singapore, pp. 508-515, 2007/9.
20. Mining Equalized Association Rules from Multi Concept Layers of Ontology Using Genetic Network Programming, G. Yang, K. Shimada, S. Mabu, K. Hirasawa, J. Hu, 2007 IEEE Congress on Evolutionary Computation (CEC2007), Singapore, pp. 705-712, 2007/9.
21. Genetic Network Programming with Control Nodes, S. Eto, S. Mabu, K. Hirasawa, T. Hurutsuki, 2007 IEEE Congress on Evolutionary Computation (CEC2007), Singapore, pp. 1023-1028, 2007/9.
22. Double-deck Elevator Group Supervisory Control System Using Genetic Network Programming with Ant Colony Optimization, L. Yu, J. Zhou, S. Mabu, K. Hirasawa, J. Hu, S. Markon, 2007 IEEE Congress on Evolutionary Computation (CEC2007), Singapore, pp. 1015-1022, 2007/9.
23. Optimal Route of Road Networks by Dynamic Programming, M.K. Mainali, K. Shimada, S. Mabu, K. Hirasawa, 2008 International Joint Conference on Neural Networks, pp. 3416-3420, 2008/6.
24. Double-Deck Elevator Systems adaptive to traffic flows using Genetic Network Programming, J. Zhou, L. Yu, S. Mabu, K. Shimada, K. Hirasawa, S. Markon, IEEE Congress on Evolutionary Computation 2008, pp. 773-778, 2008/6.
25. Evaluating Class Association Rules using Genetic Relation Programming, E. Gonzales, K. Taboada, K. Shimada, S. Mabu, K. Hirasawa, IEEE Congress on Evolutionary Computation 2008, pp. 731-736, 2008/6.
26. A Personalized Association Rule Ranking Method Based on Semantic Similarity And evolutionary Computation, G. Yang, K. Shimada, S. Mabu, K. Hirasawa, IEEE Congress on Evolutionary Computation 2008, pp. 487-494, 2008/6.
27. Comparative Association Rules Mining using Genetic Network Programming (GNP) with Attributes Accumulation Mechanism and its Application to Traffic Systems, W. Wei, H. Zhou, K. Shimada, S. Mabu, K. Hirasawa, IEEE Congress on Evolutionary Computation 2008, pp. 292-298, 2008/6.
28. Real Time Updating Genetic Network Programming for Adapting to the Change of Stock Prices, Y. Chen, S. Mabu, K. Shimada, K. Hirasawa, IEEE Congress on Evolutionary Computation 2008, pp. 370-377, 2008/6.
29. Time Related Association Rules Mining with Attributes Accumulation Mechanism and its Application to Traffic Prediction, H. Zhou, W. Wei, K. Shimada, S. Mabu, K. Hirasawa, IEEE Congress on Evolutionary Computation 2008, pp. 305-311, 2008/6.
30. Stock Trading Strategies by Genetic Network Programming with Flag Nodes, S. Mabu, Y. Chen, E. Ohkawa and K. Hirasawa, ACM Genetic and Evolutionary Computation Conference 2008 (GECCO2008), pp. 1709-1710, 2008/7.
31. Idle Cage Assignment Algorithm-embedded Controller of Double-deck Elevator Systems using Genetic Network Programming, J. Zhou, L. Yu, S. Mabu K. Shimada, K. Hirasawa and S. Markon, SICE Annual Conference 2008, pp. 146-150, 2008/8.
32. Genetic Network Programming with Rule Chains, F. Ye, S. Mabu, K. Shimada and K. Hirasawa, SICE Annual Conference 2008, pp. 1220-1225, 2008/8.
33. Traffic Flow Prediction with Genetic Network Programming, W. Wei, H. Zhou, M. K. Mainali, K. Shimada, S. Mabu and K. Hirasawa, SICE Annual Conference 2008, pp. 670-675, 2008/8.
34. A Stock Trading Model for Multi-Brands Optimization Based on Genetic Network Programming with Control Nodes, Y. Chen, E. Ohkawa, S. Mabu, K. Shimada and K. Hirasawa, SICE Annual Conference 2008, pp. 664-669, 2008/8.
35. Multi-objective Optimal Route Search for Road Networks by Dynamic Programming, M. K. Mainali, K. Shimada, S. Mabu and K. Hirasawa, SICE Annual Conference 2008, pp. 628-632, 2008/8.
36. A global routing strategy in dynamic traffic environments with a combination of Q value-based dynamic programming and Boltzmann distribution, S. Yu, F. Ye, H. Wang, S. Mabu, K. Shimada, S. Yu and K. Hirasawa, SICE Annual Conference 2008, pp. 623-627 2008/8.
37. A Nonlinear Semantic Model for Selecting Association Rules for Users, G. Yang, K. Shimada, S. Mabu and K. Hirasawa, SICE Annual Conference 2008, pp. 121-126, 2008/8.
38. Solving Multi-Objective Optimization Problems by RasID-GA: Using and External Population in Genetic Operators, M. G. Ogata, D. Sohn, S. Mabu, K. Shimada and K. Hirasawa, 8th International Conference on Hybrid Intelligent Systems, pp. 903-906, 2008/9.
39. Genetic Network Programming with Rule Accumulation Considering Judgment Order, L. Wang, S. Mabu, F. Ye and K. Hirasawa, IEEE Congress on Evolutionary Computation 2009, pp. 3176-3182, 2009/5.
40. Genetic Network Programming with Reconstructed Individuals, F. Ye, S. Mabu, L. Wang, S. Eto and K. Hirasawa, IEEE Congress on Evolutionary Computation 2009, pp. 854-859, 2009/5.
41. Mining Multi-Class datasets using Genetic Relation Algorithm for Rule Reduction, E. Gonzales, S. Mabu, K. Taboada, K. Shimada K. Hirasawa, IEEE Congress on Evolutionary Computation 2009, pp. 3249-3255, 2009/5.
42. Generalized Time Related Sequential Association Rule Mining and Traffic Prediction, H. Zhou, S. Mabu, K. Shimada and K. Hirasawa, IEEE Congress on Evolutionary Computation 2009, pp. 2654-2661, 2009/5.
43. Constructing Portfolio Investment Strategy Based on Time Adapting Genetic Network Programming, Y. Chen, S. Mabu, E. Ohkawa and K. Hirasawa, IEEE Congress on Evolutionary Computation 2009, pp. 2379-2386, 2009/5.
44. Multi-Car Elevator Group Supervisory Control System using Genetic Network Programming, L. Yu, S. Mabu, T. Zhang, S. Eto and K. Hirasawa, IEEE Congress on Evolutionary Computation 2009, pp. 2188-2193, 2009/5.
45. A New Associative Classification Method by Integrating CMAR and RuleRank Model based on Genetic Network Programming, G. Yang, S. Mabu, K. Shimada and K. Hirasawa, ICROS-SICE International Joint Conference 2009, pp. 3874-3879, 2009/8.
46. Adaptive Controller for Double-Deck Elevator System using Genetic Network Programming, J. Mansilla, S. Mabu, L. Yu and K. Hirasawa, ICROS-SICE International Joint Conference 2009, pp. 3870-3873, 2009/8.
47. Agent Bidding Strategy of Multiple Round English Auction based on Genetic Network Programming, C. Yue, S. Mabu, Y. Chen, Y. Wang and K. Hirasawa, ICROS-SICE International Joint Conference 2009, pp. 3857-3862, 2009/8.
48. Class Association Rule Mining with Correlation Measures using Genetic Network Programming, E. Gonzales, S. Mabu, K. Taboada, K. Shimada and K. Hirasawa, ICROS-SICE International Joint Conference 2009, pp. 3850-3856, 2009/8.
49. Q value-based Dynamic Programming with Evolving Penalties for Road Networks, M. K. Mainali, S. Mabu, Yu Wang, Shanqing Yu and K. Hirasawa, ICROS-SICE International Joint Conference 2009, pp. 3738-3743, 2009/8.
50. Global Optimal Routing for Traffic Systems with Multiple ODs using Genetic Algorithm, Y. Wang, S. Mabu, C. Yue, M. K. Mainali and K. Hirasawa, ICROS-SICE International Joint Conference 2009, Fukuoka International Congress Center, Japan, pp. 3731-3737, 2009/8.
51. Intrusion Detection System Combining Misuse Detection and Anomaly Detection Using Genetic Network Programming, Y. Gong, S. Mabu, C. Chen, Y. Wang and K. Hirasawa, ICROS-SICE International Joint Conference 2009, Fukuoka International Congress Center, Japan, pp.3463-3467, 2009/8.
52. Genetic Network Programming with Estimation of Distribution Algorithms and its Application to Association Rule Mining for Traffic Prediction, X. Li, S. Mabu, H. Zhou, K. Shimada and K. Hirasawa, ICROS-SICE International Joint Conference 2009, Fukuoka International Congress Center, Japan, pp.3457-3462, 2009/8.
53. A Genetic Relation Algorithm with Guided Mutation for the Large-Scale Portfolio Optimization, Y. Chen, Chuan Yue, S. Mabu and K. Hirasawa, ICROS-SICE International Joint Conference 2009, Fukuoka International Congress Center, Japan, pp. 2579-2584, 2009/8.
54. Global Portfolio Diversification by Genetic Relation Algorithm, V. Parque, S. Mabu, K. Hirasawa, ICROS-SICE International Joint Conference 2009, Fukuoka International Congress Center, Japan, pp. 2567-2572, 2009/8.
55. Stock Movement Prediction using Fuzzy Intertransaction Class Association Rule Mining based on Genetic Network Programming, Y. Yang, S. Mabu, E. Ohkawa, K. Shimada and K. Hirasawa, ICROS-SICE International Joint Conference 2009, Fukuoka International Congress Center, Japan, pp. 2561-2566, 2009/8.
56. Energy Saving Elevator Group Supervisory Control System with Idle Cage Assignment using Genetic Network Programming, T. Zhang, S. Mabu, L. Yu, J. Zhou, X. Zhang and K. Hirasawa, ICROS-SICE International Joint Conference 2009, Fukuoka International Congress Center, Japan, pp. 994-999, 2009/8.
57. Robust Genetic Network Programming Using SARSA Learning for Autonomous Robots, S. Park, S. Mabu and K. Hirasawa, ICROS-SICE International Joint Conference 2009, Fukuoka International Congress Center, Japan, pp. 523-527, 2009/8.
58. Generalized Association Rules Mining with Multi-Branches・ Full-Paths and Its Application to Traffic Volume Prediction, H. Zhou, S. Mabu, M. K. Mainali, X. Li, K. Shimada, and K. Hirasawa, ICROS-SICE International Joint Conference 2009, Fukuoka International Congress Center, Japan, pp. 147-152, 2009/8.
59. A Study on Energy Consumption of Elevator Group Supervisory Control Systems using Genetic Network Programming, L. Yu, S. Mabu, T. Zhang, K. Hirasawa and T. Ueno, IEEE International Conference on Systems, Man, and Cybernetics, pp. 589-594, 2009/10.
60. A Portfolio Selection Model using Genetic Relation Algorithm and Genetic Network Programming, Y. Chen, S. Mabu and K. Hirasawa, IEEE International Conference on Systems, Man, and Cybernetics, pp. 4488-4493, 2009/10.
61. Backward Time Related Association Rule mining with Database Rearrangement in Traffic Volume Prediction, H. Zhou, S. Mabu, K. Shimada and K. Hirasawa, IEEE International Conference on Systems, Man, and Cybernetics, pp. 1047-1052, 2009/10.
62. Fuzzy Classification Rule Mining Based on Genetic Network Programming Algorithm, K. Taboada, S. Mabu, E. Gonzales, K. Shimada and K. Hirasawa, IEEE International Conference on Systems, Man, and Cybernetics, pp. 3960-3965, 2009/10.
63. Network Intrusion Detection using Fuzzy Class Association Rule Mining Based on Genetic Network Programming, C. Chen, S. Mabu, C. Yue, K. Shimada and K. Hirasawa, IEEE International Conference on Systems, Man, and Cybernetics, pp. 66-73, 2009/10.
64. Evolving Plural Programs Using Genetic Network Programming with Multi-Start Nodes, S. Mabu and K. Hirasawa, IEEE International Conference on Systems, Man, and Cybernetics, pp. 1419-1424, 2009/10.
65. Multi-Routes Algorithm using Temperature Control of Boltzmann Distribution in Q value-based Dynamic Programming, S. Yu, S. Mabu, M. K. Mainali, S. Eto, K. Shimada and K. Hirasawa, IEEE International Conference on Systems, Man, and Cybernetics, pp. 3989-3994, 2009/10.
66. Pruning Association Rules using Statistics and Genetic Relation Algorithm, E. Gonzales, S. Mabu, K. Taboada, K. Hirasawa and K. Shimada, ACM Genetic and Evolutionary Computation Conference 2010 (GECCO2010), pp. 419-420, 2010/07.
67. Genetic Network Programming with Generalized Rule Accumulation, L. Wang, S. Mabu, Q. Meng and K. Hirasawa, IEEE World Congress on Computational Intelligence, pp. 2681-2687, 2010.
68. A Portfolio Selection Strategy Using Genetic Relation Algorithm, Y. Chen, S. Mabu and K. Hirasawa, IEEE World Congress on Computational Intelligence, pp. 616-622, 2010/7.
69. A Bidding Strategy of Multiple Round Auctions based on Genetic Network Programming, C. Yue, S. Mabu, D. Yu, Y. Wang and K. Hirasawa, IEEE World Congress on Computational Intelligence, pp. 33-40, 2010/7.
70. Guiding the Evolution of Genetic Network Programming with Reinforcement Learning, Q. Meng, S. Mabu, Y. Wang and K. Hirasawa, IEEE World Congress on Computational Intelligence, pp. 2778-2785, 2010/7.
71. Generalized Rule Extraction and Traffic Prediction in the Optimal Route Search, H. Zhou, S. Mabu, X. Li, K. Shimada and K. Hirasawa, IEEE World Congress on Computational Intelligence, pp. 2625-2632, 2010/7.
72. Genetic Network Programming with Estimation of Distribution Algorithms for Class Association rule Mining in Traffic Prediction, X. Li, S. Mabu, H. Zhou, K. Shimada and K. Hirasawa, IEEE World Congress on Computational Intelligence, pp. 2673-2680, 2010/7.
73. Classification Based on A Multi-Dimensional Probability Distribution and Its Application to Network Intrusion Detection, S. Mabu, W. Li, N. Lu, Y. Wang and K. Hirasawa, IEEE World Congress on Computational Intelligence, pp. 1437-1443, 2010/7.
74. Functionally Distributed Systems Using Parallel Genetic Network Programming, Y. Zhang, X. Li, Y. Yang, S. Mabu, Y. Jin, K Hirasawa, SICE Annual Conference 2010, pp.2626-2630, Taipei, Taiwan, 2010/8.
75. Trading Rules on Stock Markets Using Genetic Network Programming with Subroutines, J. Li, Q. Meng, Y. Yang, S. Mabu, Y. Wang and K. Hirasawa, SICE Annual Conference 2010, pp. 3084-3088, Taipei, Taiwan, 2010/8.
76. Studies on Q Value-based Dynamic Programming with Boltzmann Distribution, Y. Xu, D. Zhang, S. Mabu, S. Yu, K. Hirasawa, Y. Fang, SICE Annual Conference 2010, pp.2628-2632, Taipei, Taiwan, 2010/8.
77. Enhancing Global Portfolio Optimization using Genetic Network Programming, V. Parque, S. Mabu, K. Hirasawa, SICE Annual Conference 2010, pp.3078-3083, Taipei, Taiwan, 2010/8.
78. A Bidding Strategy based on Genetic Network Programming in Continuous Double Auctions, C. Yue, S. Mabu, D. Yui, Y. Wang, K. Hirasawa, SICE Annual Conference 2010, pp.2620-2625, Taipei, Taiwan, 2010/8.
79. Hybrid Rule Mining based on Fuzzy GNP and Probabilistic Classification for Intrusion Detection, N. Lu, S. Mabu, W. Li, K. Hirasawa, SICE Annual Conference 2010, pp.2614-2619, Taipei, Taiwan, 2010/8.
80. Genetic Network Programming with Exception Control, Q. Meng, S. Mabu, K. Hirasawa, SICE Annual Conference 2010, pp.2608-2613, Taipei, Taiwan, 2010/8.
81. Face Recognition Using PCA with GNP-fuzzy Data Mining, D. Zhang, S. Mabu, K. Taboada, F. Weng, K. Hirasawa, SICE Annual Conference 2010, pp.2637-2641, Taipei, Taiwan, 2010/8.
82. Web Mining using Genetic Relation Algorithm, E. Gonzales, S. Mabu, K. Taboada, K. Hirasawa, SICE Annual Conference 2010, pp.2622-2627, Taipei, Taiwan, 2010/8.
83. Automatic Program Generation with Genetic Network Programming using Subroutines, B. Li, S. Mabu and K. Hirasawa, SICE Annual Conference 2010, pp.3089-3094, Taipei, Taiwan, 2010/8.
84. Analysis of Various Interestingness Measures in Classification Rule Mining for Traffic Prediction, X. Li, S. Mabu, H. Zhou, K. Shimada, K. Hirasawa, SICE Annual Conference 2010, pp.1969-1974, Taipei, Taiwan, 2010/8.
85. Parameters tuning using RasID Algorithm in Q value-based Dynamic programming with Boltzmann Distribution, S. Yu, S. Mabu, M. K. Mainali, K. Hirasawa, SICE Annual Conference 2010, pp. 162-167, Taipei, Taiwan, 2010/8.
86. Generating Stock Trading Signals Based on Matching Degree with Extracted Rules by Genetic Network Programming, S. Mabu, Y. Lian, Y. Chen, K. Hirasawa, SICE Annual Conference 2010, pp. 1164-1169, Taipei, Taiwan, 2010/8.
87. Asset selection in global financial markets using Genetic Network Programming, V. Parque, S. Mabu and K. Hirasawa, 2010 IEEE International Conference on Systems, Man, and Cybernetics, pp. 677-683, Istanbul, Turkey, 2010/10.
88. Genetic Network Programming with New Genetic Operators, F. Ye, S. Mabu, L. Wang and K. Hirasawa, 2010 IEEE International Conference on Systems, Man, and Cybernetics, pp. 3346-3353, Istanbul, Turkey, 2010/10.
89. Noise Reduction using Genetic Algorithm Based PCNN Method, D. Zhang, S. Mabu and K. Hirasawa, 2010 IEEE International Conference on Systems, Man, and Cybernetics, pp. 2627-2633, Istanbul, Turkey, 2010/10.
90. Optimal Route Planning with Restrictions for Car Navigation Systems, M. K. Mainali, S. Mabu, X. Li and K. Hirasawa, 2010 IEEE International Conference on Systems, Man, and Cybernetics, pp. 393-397, Istanbul, Turkey, 2010/10.
91. GNP-Sarsa with Subroutines for Trading Rules on Stock Markets, Y. Yang, J. Li, S. Mabu and K. Hirasawa, 2010 IEEE International Conference on Systems, Man, and Cybernetics, pp. 1161-1165, Istanbul, Turkey, 2010/10.
92. Double-Deck Elevator Systems with Idle Cage Assignment using Genetic Network Programming, L. Yu, S. Mabu, J. Zhou, S. Eto and K. Hirasawa, 2010 IEEE International Conference on Systems, Man, and Cybernetics, pp. 1987-1994, Istanbul, Turkey, 2010/10.
93. Genetic Network Programming with Sarsa Learning Based Nonuniform Mutation, Q. Meng, S. Mabu and K. Hirasawa, 2010 IEEE International Conference on Systems, Man, and Cybernetics, pp. 1273-1278, Istanbul, Turkey, 2010/10.
94. Evolutionary Approach for the Traffic Volume Estimation of Road Sections, M. K. Mainali, S. Mabu and K. Hirasawa, 2010 IEEE International Conference on Systems, Man, and Cybernetics, pp. 100-105, Istanbul, Turkey, 2010/10.
95. Time Related Association Rule Mining with Accuracy Validation in Traffic volume Prediction with Large Scale Simulator, H. Zhou, S. Mabu, K. Shimada and K. Hirasawa, 2010 IEEE International Conference on Systems, Man, and Cybernetics, pp. 2249-2255, Istanbul, Turkey, 2010/10.
96. Tile-world – A case study of Genetic Network Programming with Automatic Program Generation, B. Li, S. Mabu and K. Hirasawa, 2010 IEEE International Conference on Systems, Man, and Cybernetics, pp. 2708-2715, Istanbul, Turkey, 2010/10.
97. Various Temperature Parameter Control Methods in Q value-based Dynamic Programming with Boltzmann Distribution, S. Yu, S. Mabu, M. K. Mainali, K. Shimada and K. Hirasawa, 2010 IEEE International Conference on Systems, Man, and Cybernetics, pp. 2677-2683, Istanbul, Turkey, 2010/10.
98. Multi-Car Elevator System using Genetic Network Programming for High-rise Building, L. Yu, S. Mabu and K. Hirasawa, 2010 IEEE International Conference on Systems, Man, and Cybernetics, pp. 1216-1222, Istanbul, Turkey, 2010/10.
99. Evaluation on the Robustness of Genetic Network Programming with Reinforcement Learning, S. Mabu, A. Tjahjadi, S. Sendari and K. Hirasawa, 2010 IEEE International Conference on Systems, Man, and Cybernetics, pp. 1659-1664, Istanbul, Turkey, 2010/10.
100. Genetic Network Programming With Updating Rule Accumulation, L. Wang, S. Mabu and K. Hirasawa, 2011 IEEE Congress on Evolutionary Computation (CEC2011), 2011/6.
101. Variable Size Genetic Network Programming with Binomial Distribution, B. Li, X. Li, S. Mabu and K. Hirasawa, 2011 IEEE Congress on Evolutionary Computation (CEC2011), 2011/6.
102. Pruning Generalized Rules for Stock Markets Accumulated by Genetic Network Programming with Rule Accumulation, Y. Xing, S. Mabu and K. Hirasawa, 2011 IEEE Congress on Evolutionary Computation (CEC2011), 2011/6.
103. A Sequential Subspace Face Recognition Framework using Genetic-based Clustering, D. Zhang, S. Mabu, F. Wen and K. Hirasawa, 2011 IEEE Congress on Evolutionary Computation (CEC2011), 2011/6.
104. A Novel Estimation of Distribution Algorithm Using Graph-based Chromosome Representation and Reinforcement Learning, X. Li, B. Li, S. Mabu and K. Hirasawa, 2011 IEEE Congress on Evolutionary Computation (CEC2011), 2011/6.
105. Use of Infeasible Individuals in Probabilistic Model Building Genetic Network Programming, X. Li, S. Mabu and K. Hirasawa, ACM Genetic and Evolutionary Computation Conference 2011 (GECCO2011), 2011/7.
106. Enhanced Rule Extraction and Classification Mechanism of Genetic Network Programming for Stock Trading Signal Generation, S. Mabu and K. Hirasawa, ACM Genetic and Evolutionary Computation Conference 2011 (GECCO2011), 2011/7.
107. Hierarchical Efficient Route Planning in Road Networks, M. K. Mainali, S. Mabu and K. Hirasawa, IEEE International Conference on Systems, Man, and Cybernetics, pp. 2279-2284, 2011/10.
108. Fuzzy Genetic Network Programming with Reinforcement Learning for Mobile Robot Navigation, S. Sendari, S. Mabu and K. Hirasawa, IEEE International Conference on Systems, Man, and Cybernetics, pp. 2243-2248, 2011/10.
109. Traffic Prediction using Time Related Association Rules and Vehicle Routing, H. Zhou, S. Mabu, K. Shimada and K. Hirasawa, IEEE International Conference on Systems, Man, and Cybernetics, pp. 2203-2208, 2011/10.
110. Dynamic Traffic Management Model for Real World Road Networks, S. Yu, S. Mabu, M. K. Mainali, K. Shimada and K. Hirasawa, IEEE International Conference on Systems, Man, and Cybernetics, pp. 2197-2202, 2011/10.
111. A Supervised Learning Framework for PCA-based Face Recognition using GNP Fuzzy Data Mining, D. Zhang, S. Mabu, F. Wen and K. Hirasawa, IEEE International Conference on Systems, Man, and Cybernetics, pp. 516-520, 2011/10.
112. A Bidding Strategy for Continuous Double Auctions based on Genetic Network Programming with Generalized Judgments, C. Yue, S. Mabu and K. Hirasawa, IEEE International Conference on Systems, Man, and Cybernetics, pp. 144-151, 2011/10.
113. Q value-based Dynamic Programming with SARSA Learning for real time route guidance in large scale road networks, S. Yu, J. Zhou, B. Li, S. Mabu and K. Hirasawa, 2012 IEEE World Congress on Computational Intelligence (WCCI2012), pp. 1035-1041, 2012/6.
114. Rule Accumulation Method Based on Credit Genetic Network Programming, L. Wang, W. Xu, S. Mabu and K. Hirasawa, 2012 IEEE World Congress on Computational Intelligence (WCCI2012), pp. 3537-3544, 2012/6.
115. Towards Automatic Discovery and Reuse of Subroutines in Variable Size Genetic Network Programming, B. Li, X. Li, S. Mabu and K. Hirasawa, 2012 IEEE World Congress on Computational Intelligence (WCCI2012), pp. 1348-1355, 2012/6.
116. A Continuous Estimation of Distribution Algorithm by Evolving Graph Structures Using Reinforcement Learning, X. Li, B. Li, S. Mabu and K. Hirasawa, 2012 IEEE World Congress on Computational Intelligence (WCCI2012), pp. 1108-1115, 2012/6.
117. A Multitasks Learning Approach to Autonomous Agent based on Genetic Network Programming, Y. Yang, S. Mabu and K. Hirasawa, 2012 IEEE World Congress on Computational Intelligence (WCCI2012), pp. 918-924, 2012/6.
118. Integrated Fuzzy GNP Rule Mining with Distance-based Classification for Intrusion Detection System, Nannan Lu, Shingo Mabu, Tuo Wang and Kotaro Hirasawa, 2012 IEEE International Conference on Systems, Man, and Cybernetics, pp. 1569-1574, 2012/10
119. A Bidding Strategy using Genetic Network Programming with Adjusting Parameters for Large-scale Continuous Double Auction, Chuan Yue, Shingo Mabu and Kotaro Hirasawa, 2012 IEEE International Conference on Systems, Man, and Cybernetics, pp. 1896-902, 2012/10
120. Adaptive Control System Based on Self-organizing Wavelet Neural Network with H_infinity Tracking Performance Compensator, Masanao Obayashi, Takuya Kamikariya, Shogo Uchiyama, Shogo Watada, Takashi Kuremoto, Shingo Mabu, Kunikazu Kobayashi, 2013 IEEE International Conference on Systems, Man, and Cybernetics, pp. 3232-3237, 2013
121. A Model of Emotional Intelligent Agent for Cooperative Goal Exploration, Takashi Kuremoto, Tetsuya Tsurusaki, Kunikazu Kobayashi, Shingo Mabu, Masanao Obayashi, 2013 9th International Conference on Intelligent Computing (ICIC2013), pp. 21-30, 2013
122. A Variable Size Mechanism of Distributed Graph Programs for Creating Agent Behaviors, Shingo Mabu, Kotaro Hirasawa, Masanao Obayashi and Takashi Kuremoto, IEEE Congress on Evolutionary Computation, pp. 1756-1762, 2013/6
123. Decentralized Adaptive Control Using Affine plus Self-organizing Fuzzy Neural Network for Multi-Agent System Consensus Problem, Masanao Obayashi, Yasuhiro Otomi, Takashi Kuremoto, Kunikazu Kobayashi, Shingo Mabu, IEEE International Conference on System Science and Engineering, pp. 247-252, 2013/7
124. The recollection characteristics of a generalized MCNN, Shun Watanabe, Takashi Kuremoto, Kunikazu Kobayashi, Shingo Mabu, Masanao Obayashi, SICE Annual Conference 2013, pp. 1375-1380, 2013/9
125. Innovative Practice of Robotics Education Using LEGO Mindstorm NXT, Takashi Kuremoto, Shun Watanabe, Kunikazu Kobayashi, Shingo Mabu, and Masanao Obayashi, in Proc. of the International Conference on Innovative Application Research and Education (ICIARE 2013), pp.74-77, 2013/12
126. An Innovative Metal Task Classification Method with a Hierarchical Structure Based on EEG Data, Masanao Obayashi, Masaya Shinkawa, Takashi Kuremoto, Kunikazu Kobayashi, Shingo Mabu, in Proceedings of the International Conference on Innovative Application Research and Education (ICIARE 2013), pp.92-95, 2013/12
127. Dynamical recollection and Storage of Video Images via MCNN and SOM, Shun Watanabe, Takashi Kuremoto, Kunikazu Kobayashi, Shingo Mabu and Masanao Obayashi, in Proc. of the International Conference on Innovative Application Research and Education (ICIARE 2013), pp.66-69, 2013/12
128. The recollection characteristics of generalized MCNN using different control methods, Shun Watanabe, Takashi Kuremoto, Kunikazu Kobayashi, Shingo Mabu, Masanao Obayashi, International Conference on Artificial Life and Robotics 2014, 2014/1
129. A Decision Making System of Robots Introducing a Re-construction of Emotions Based on Their Own Experiences, Shogo Watada, Masanao Obayashi, Takashi Kuremoto, Shingo Mabu, Kunikazu Kobayashi, International Conference on Artificial Life and Robotics 2014, 2014/1
130. One Dimensional Ring Type Growing SOM with Asymmetric Neighborhood Function and its Application to a Hand Shape Instruction Learning System, Takashi Kuremoto, Takuhiro Otani, Masanao Obayashi, Kunikazu Kobayashi, Shingo Mabu, in Proc. of 15th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2014), 2014/6
131. A Hand Shape Instruction Recognition and Learning System usign Growing SOM with Asymmetric Neighborhood Function, Takashi Kuremoto, Takuhiro Otani, Masanao Obayashi, Kunikazu Kobayashi, Shingo Mabu, in Lecture Note in Computer Science (LNCS), Vol. 8588, pp. 269-276, 2014 (Proceedings of 10th International Conference on Intelligent Computing, ICIC 2014), 2014/8
132. A Modified Recurrent Neural Network with Parametric Bias and its Application to Action Learning of a Humanoid Robot, Takashi Kuremoto, Keita Morisaki, Kunikazu Kobayashi, Shingo Mabu, Masanao Obayashi, in Proc. of 2nd International Conference on Intelligent Systems and Image Processing 2014 (ICISIP 2014), pp.414-418, 2014/9
133. Implementation of Genetic Network Programming and Knapsack Problem for Record Clustering on Distributed Database, Wirarama Wedashwara, Shingo Mabu, Masanao Obayashi, Takashi Kuremoto, SICE Annual Conference 2014, pp. 935-940, 2014/9
134. How an Adaptive Learning Rate Benefits Neuro-Fuzzy Reinforcement Learning Systems, Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi, Shingo Mabu, in Lecture Note in Computer Science (LNCS), Vol. 8794, pp. 324-331 (2014 Proceedings of 5th International Conference on Swarm Intelligence, ICSI 2014), 2014/10
135. Forecast Chaotic Time Series Data by DBNs, Takashi Kuremoto, Takaomi Hirata, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi, The 2014 7th International Congress on Image and Signal Processing, pp. 1304-1309, 2014/10
136. A Tracking Method for A Two-Wheeled Robot Using Wavelet Neural Network-based Sliding Mode Control, Takeshi Aridome, Masanao Obayashi, Takashi Kuremoto, Shingo Mabu, Proceedings of Innovative Application Research and Education (ICIARE2014), pp. 30-33, 2014
137. A Study on Effective Structural Evolution of Genetic Network Programming for Improving Generalization Performance, Shun Gotoh, Shingo Mabu, Masanao Obayashi, Takashi Kuremoto Proceedings of Innovative Application Research and Education (ICIARE2014), pp. 39-42 , 2014
138. An Odor Recognition System in Real Environments Using KIII Olfactory Function Model, Wataru Hikino, Masanao Obayashi, Takashi Kuremoto, Shingo Mabu, Proceedings of Innovative Application Research and Education (ICIARE2014), pp. 43--45, 2014
139. Time Series Prediction using DBN and ARIMA, Takaomi Hirata, Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi and Shingo Mabu, Proceedings of Innovative Application Research and Education (ICIARE2014), pp. 54-57, 2014
140. A Reinforcement Learning System with Neuro-Fuzzy Network and its Applications, Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi, Shingo Mabu, Proceedings of Innovative Application Research and Education (ICIARE2014), pp. 68-71, 2014
141. A Voice Instruction Learning System using GSOM with Asymmetric Neighborhood Function, Takashi Kuremoto, Yuya Kuzukami, Masanao Obayashi, Kunikazu Kobayashi, Shingo Mabu, Proceedings of Innovative Application Research and Education (ICIARE2014), pp. 72-75, 2014
142. Ensemble Learning of Rule-based Evolutionary Algorithm Using Multi Layer Perceptron for Stock Trading Models, Shingo Mabu, Masanao Obayashi, Takashi Kuremoto, Joint 7th International Conference on Soft Computing and Intelligent Systems and 15th International Symposium on Advanced Intelligent Systems, pp. 624-629, 2014
143. Online Rule Updating System Using Evolutionary Computation for Managing Distributed Database, Wirarama Wedashwara, Shingo Mabu, Masanao Obayashi, Takashi Kuremoto, The 2015 International Conference on Artificial Life and Robotics (ICAROB 2015), pp. 98-101, 2015
144. Reinforcement Learning with Symbiotic Relationships for Multiagent Environments, Shingo Mabu, Masanao Obayashi, Takashi Kuremoto, The 2015 International Conference on Artificial Life and Robotics (ICAROB 2015), pp. 102-106, 2015 (Best paper award)
145. Leader-Following Formation Control with an Adaptive Linear and Terminal Sliding Mode Combined Controller Using Auto-Structuring Fuzzy Neural Network, Masanao Obayashi, Kohei Ishikawa, Takashi Kuremoto, Shingo Mabu, Kunikazu Kobayashi, The Seventh International Conference on Advanced Cognitive Technologies and Applications, pp. 130-136, 2015
146. Evolutionary Rule Based Clustering for Making Fuzzy Object Oriented Database Models, Wirarama Wedashwara, Shingo Mabu, Masanao Obayashi, Takashi Kuremoto The Fourth International Congress on Advanced Applied Informatics, pp. 517-522, 2015
147. To Extraction the Feature of EEG Signals for Mental Task Recognition, Takashi Kuremoto, Yuki Baba, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi, SICE Annual Conference 2015, pp. 353-358, 2015
148. Time Series Prediction using DBN and ARIMA, Takaomi Hirata, Takashi Kuremoto, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi, 2015 International Conference on Computer Application Technologies, pp. 24-29, 2015
149. An Autonomous Mobile Robot with Functions of Action Learning, Memorizing, Recall and Identifying the Environment Using Gaussian Mixture Model, Masanao Obayashi, Taiki Yamane, Takashi Kuremoto, Shingo Mabu, Kunikazu Kobayashi, International Conference on Neural Information Processing 2015, Part I, LNCS 9489, pp. 272–282, 2015
150. An Extended Q Learning System with Emotion State to Make Up and Agent with Individuality, Masanao Obayashi, Shunsuke Uto, Takashi Kuremoto, Shingo Mabu, Kunikazu Kobayash, Proceedings of the 7th International Joint Conference on Computational Intelligence, Vol. 3, pp. 70–78, 2015
151. A Method of Feature Extraction for EEG Signal Recognition, Takashi Kuremoto, Yuki Baba, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi, Innovative Application Research and Education 2015, pp. 67-69, 2015
152. Efficient Reinforcement Learning Using an Adaptive Control of Meta-parameters Based on a Markov Emotional Model, Shogo Wadata, Masanao Obayashi, Takashi Kuremoto, Shingo Mabu, The Twenty-First International Symposium on Artificial Life and Robotics, pp. 14-19, 2016/1
153. An Intrusion Detection System Using Random Forests Based on Class Association Rules, Shun Gotoh, Shingo Mabu, Masanao Obayashi, Takashi Kuremoto, The Twenty-First International Symposium on Artificial Life and Robotics, pp. 148-153, 2016/1
154. Evolutionary Rule Based Clustering with Fuzzy Feature Selection for High Dimensional Database, Wirarama Wedashwara, Shingo Mabu, Masanao Obayashi, Takashi Kuremoto, The Twenty-First International Symposium on Artificial Life and Robotics, pp. 142-147, 2016/1
155. An Optimization of Spatio-Spectral Filter Bank Design for EEG Signal Classification, Masanao Obayashi, Takuya Geshi, Takashi Kuremoto, Shingo Mabu, Proc. of the 2016 International Conference on Artificial Life and Robotics, pp. 397-400, 2016/1
156. An Evolutionary Algorithm for Making Decision Graphs for Classification Problems, Shingo Mabu, Masanao Obayashi, Takashi Kuremoto, Proc. of the 2016 International Conference on Artificial Life and Robotics, 458-462, 2016/1
157. A Neuro-Fuzzy Reinforcement Learning System for Autonomous Robot Dealing with Continuous Space, Takashi Kuremoto, Kazuhiro Tsubaki, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi, International Workshop on Nonlinear Circuit, Communications and Signal Processing, pp. 258-261, 2016
４．国内学会・研究会発表等
1. 遺伝的ネットワークプログラミングのオンライン学習, 間普真吾, 平澤宏太郎, 胡敬炉, 村田純一, 計測自動制御学会学術講演会2001, (ID: 106 A-3), 2001/7
2. 遺伝的ネットワークプログラミングのオンライン強化学習, 間普真吾, 平澤宏太郎, 胡敬炉, 村田純一, 計測自動制御学会 システム・情報部門学術講演会 2001, pp. 25–30, 2001/11
3. 学習・進化型遺伝的ネットワークプログラミング，間普真吾, 平澤宏太郎, 胡敬炉, 村田純一, 第12回インテリジェント・システム・ シンポジウム 02 (FANシンポジウム 02) , pp. 1–6, 2002/11
4. 進化と学習を用いた遺伝的ネットワークプログラミングによるエージェントの行動学習, 間普真吾, 平澤宏太郎, 古月敬之, 第14回インテリジェント・システム・シンポジウム 04 (FANシンポジウム04) , pp. 349–354, 2004/10
5. タイルワールド問題を用いたGenetic Network Programmingと従来手法の性能比較, 間普真吾, 平澤宏太郎, 古月敬之, 第23回計測自動制御学会九州支部学術講演会）, pp. 373–376, 2004/12
6. A Study of Genetic Network Programming with Reinforcement Learning and its Application, S. Mabu, Moe Thu Thu, K. Hirasawa, J. Hu, IEEJ conference on electronics, Information and Sytstems, pp. 1019–1024, 2005/9
7. Actor-Criticを用いた遺伝的ネットワークプログラミングの学習アルゴリズム, 間普真吾, 平澤宏太郎, 古月敬之, 第15回インテリジェント・システム・シンポジウム (FANシンポジウム05) , pp. 381–386, 2005/9
8. 多スタートノードGNPを用いた株式売買ポートフォリオの基礎検討, 白石憲正、間普真吾、平澤宏太郎、古月敬之, 第16回インテリジェントシステムシンポジウム, pp. 145-150, 2006/9
9. Benchmark Test of RasID-GA for Inequality/Equality Constrained Optimization, D. Sohn, S. Mabu, K. Hirasawa, J. Hu, 第16回インテリジェントシステムシンポジウム, pp. 155-160, 2006/9
10. 多エージェント間の共生進化アルゴリズム, 田中大介、間普真吾、平澤宏太郎、古月敬之, 第16回インテリジェントシステムシンポジウム, pp. 187-192, 2006/9
11. 遺伝的ネットワークプログラミングによる不完全なデータベースからのクラス相関ルールの抽出, 森川英治、嶋田香、間普真吾、平澤宏太郎、古月敬之, 第16回インテリジェントシステムシンポジウム, pp. 227-232, 2006/9
12. イントロン付Genetic Network Programmingの基礎検討, 畑和宏、間普真吾、江藤慎治、平澤宏太郎、古月敬之, 第16回インテリジェントシステムシンポジウム, pp. 267-272, 2006/9
13. 強化学習と重要度指標を用いた遺伝的ネットワークプログラミングによる株式売買モデル, 間普真吾, 高橋好史, 平澤宏太郎, 古月敬之, 平成18年電気学会電子・情報・システム部門大会, pp. 881-887, 2006/9
14. Time Related Association Rules mining and its Application to Traffic Control, H. Zhou, W. Wei, K. Shimada, S. Mabu and K. Hirasawa, 第17回インテリジェント・システム・シンポジウム（17th Intelligent System Symposium）, pp. 97-102, 2007/8
15. Comparative Association Rules Mining using Genetic Network Programming (GNP) and its Application to Traffic Content, W. Wei, H. Zhou, K. Shimada, S. Mabu and K. Hirasawa, 第17回インテリジェント・システム・シンポジウム, pp. 103-108, 2007/8
16. マルチエージェントシステムにおける調整ノード付Genetic Network Programming, 島田宗明, 江藤慎治, 間普真吾, 平澤宏太郎, 古月敬之, 第17回インテリジェント・システム・シンポジウム, pp. 133-138, 2007/8
17. 重要度指標と調整ノードを用いた機能局在型Genetic Network Programmingの構成, 江藤慎治, 間普真吾, 嶋田香, 平澤宏太郎, 第17回インテリジェント・システム・シンポジウム, pp. 139-144, 2007/8
18. フラグノードつき遺伝的ネットワークプログラミングによる株式売買モデル, 間普真吾, 平澤宏太郎, 古月敬之, 平成19年電気学会電子・情報・システム部門大会, pp. 1173-1179, 2007/9
19. Online Auction System with Genetic Network Programming, N. An, K. Hirasawa and S. Mabu,第26回計測自動制御学会九州支部学術講演会, pp. 61-64, 2007/12
20. Search for the Optimal Traveling Time of Road Networks by Dynamic Programming, M. K. Mainali, K. Shimada, S. Mabu and K. Hirasawa, 第26回計測自動制御学会九州支部学術講演会, pp. 65-68, 2007/12
21. Genetic Network Programming with Rule Accumulation, L. Wang, C. Chen, S. Mabu, K. Shimada, K. Hirasawa, 計測自動制御学会 システム・情報部門学術講演会, SICE SSI 2008, 2008/11
22. A Multi-passenger Taxi Control System using Genetic Networking Programming, Q. Meng, S. Mabu and K. Hirasawa, 計測自動制御学会システム・情報部門学術講演会, SSI2009, pp. 65-68,2009/11
23. Trading Strategy On Stock Markets Using Genetic Network Programming With Rule Accumulation, Y. Lian, S. Mabu, Y. Chen and K. Hirasawa, 計測自動制御学会システム・情報部門学術講演会, SSI2009, pp.77-80, 2009/11
24. Automatic Program Generation with Genetic Network Programming for Tile-world, B. Li, S. Mabu and K. Hirasawa, 計測自動制御学会システム・情報部門学術講演会, SSI2009, pp. 87-92, 2009/11
25. Classifier for Traffic Prediction Using Genetic Network Programming with Estimation of Distribution Algorithms, X. Li, H. Zhou, S. Mabu, K. Shimada and K. Hirasawa, 計測自動制御学会システム・情報部門学術講演会, SSI2009, pp. 286-291, 横浜, 2009/11
26. 分散型有向グラフ構造の共進化による株式売買モデル，間普真吾，Yang Yang，Zhaoping He，平澤宏太郎，平成24年度電気学会電子・情報・システム部門大会，pp.550-555, 2012/9
27. 非対称近傍関数を持つG-SOMおよびそれを用いたロボットの命令学習システム，大谷拓寛, 呉本尭 小林邦和, 間普真吾, 大林正直, 第4回コンピューテーショナル・インテリジェンス研究会, pp. 1-8, 2013/12
28. 経験に基づく情動の再構成を導入したロボットの行動選択システム，綿田将悟, 大林正直,呉本尭， 間普真吾，小林邦和, 第4回コンピューテーショナル・インテリジェンス研究会, pp.9-15, 2013
29. 情動形成に基づく行動選択システムとその実機 ロボットへの応用，綿田将悟，大林正直，呉本尭，小林邦和，間普真吾：，第22回計測自動制御学会中国支部学術講演会, pp.46-47, 2013/12
30. 複数環境に対応可能な自律移動ロボットシステム，山根大樹，大林正直，呉本尭，小林邦和，間普真吾，第22回計測自動制御学会中国支部学術講演会論文集，pp.76-77, 2013/11
31. Neuro-Fuzzy型強化学習システムにおる知的エージェントの行動学習，椿 和大，呉本尭，大林正直，小林邦和，間普真吾，第22回計測自動制御学会中国支部学術講演会，pp.84-85, 2013/11
32. PSOを用いたカオス的海馬―新皮質モデルの長期記憶形成に関する研究，渡邊 駿，呉本 尭，小林邦和，間普真吾，大林正直，第22回計測自動制御学会中国支部学術講演会，pp.86-87, 2013/11
33. 色彩特徴による情動を考慮した強化学習システム，宇都俊佑，大林正直，呉本尭，間普真吾，小林邦和，第22回計測自動制御学会中国支部学術講演会，pp.90-91, 2013/11
34. ニューラルネットワークを用いたステレオ画像における被写体距離の決定法，下司拓也，大林正直，呉本尭，間普真吾，小林邦和，第22回計測自動制御学会中国支部学術講演会，pp.136-137, 2013
35. 情動を用いたロボットの経路決定法の考案，岸 達也，大林正直，呉本尭，間普真吾，小林邦和，第22回計測自動制御学会中国支部学術講演会, pp. 158-159, 2013/11
36. 非線形ダイナミクスを持つエージェント群によるターゲットの知的追従制御方式，石川幸平，大林正直，呉本尭，小林邦和，間普真吾，第22回計測自動制御学会中国支部学術講演会, pp.166-167, 2013/11
37. 非対称GSOMを用いた手形状指令学習システムの構築に関する研究，大谷拓寛，呉本尭，小林邦和，間普真吾，大林正直，第22回計測自動制御学会中国支部学術講演会, pp. 200-201, 2013/11
38. RBMとMLPを用いたDBNによるカオス時系列予測，平田貴臣，呉本 尭，大林正直，間普真吾，小林邦和，第22回計測自動制御学会中国支部学術講演会, pp. 208-209, 2013
39. Elman型RNNPBを用いたヒューマンノイドロボットの教示学習に関する研究，森崎啓太，呉本尭，間普真吾，小林邦和，大林正直，第22回計測自動制御学会中国支部学術講演会, pp. 210-211, 2013/11
40. RBMを用いたDBNによるカオス時系列予測，徳田慎太郎，呉本尭，間普真吾，小林邦和，大林正直，第22回計測自動制御学会中国支部学術講演会, pp. 212-213, 2013/11
41. ベラ科魚類の生態に基づく遺伝的アルゴリズムの改良, 綿田将悟, 大林正直, 呉本尭, 間普真吾, 平成26年電気学会電子・情報・システム部門大会, pp. 44-49, 2014/9
42. 自己組織化 ニューロファジィ強化学習システムによる道環境の探索，椿和大，呉本尭，大林正直，間普真吾，第23回計測自動制御学会中国支部学術講演会，pp. 136-137, 2014/11
43. 色彩情報を考慮した強化 学習システム，宇都駿佑，大林正直，呉本 尭，間普真吾，第23回自動制御学会中国支部学術講演会，pp. 138-139, 2014/11
44. ベラ科魚類の 生態に基づく遺伝的アルゴリズムの改良手法の検討，綿田将悟，大林正直，呉本 尭，間普真吾，第23回計測自動制御学会中国支部学術講演会，pp. 146-147, 2014/11
45. 深層学習と線形モデルを併用した時系列予測手法，平田貴臣，呉本尭，大林正直，間普真吾，小林邦和，平成27年電気学会電子・情報・システム部門大会，pp. 68-73, 2015/9
46. RBMとMLPを用いたDeep Belief Netによる時系列予測，平田貴臣，呉本尭，大林正直，間普真吾，小林邦和，第65回電気・情報関連学会中国支部連合大会，pp. 338-339, 2015/10
47. 非対称近傍関数型PL-G-SOMを用いた音声命令学習システム，葛神裕也, 呉本尭, 大林正直, 間普 真吾，第66回電気・情報関連学会中国支部連合大会，セッション24-2，2015/10
48. 簡略化情動モデルとそのロボットの行動決定システムへの応用，清水翔太, 綿田将悟, 大林正直, 呉本尭, 間普真吾，第66回電気・情報関連学会中国支部連合大会，セッション24-3，2015/10
49. 脳波識別における特徴抽出法の検討，馬場勇希, 呉本尭, 大林正直, 間普真吾，第66回電気・情報関連学会中国支部連合大会，セッション21-4，2015/10
50. SOMとSVMを用いた未学習者のための階層型脳波識別システム，六車博道, 大林正直, 呉本尭, 間普真吾，第66回電気・情報関連学会中国支部連合大会，セッション25-4，2015/10（電気学会中国支部奨励賞）
51. クラス相関ルールの剪定とクラスタリングによる識別システムの改良とその性能評価，呰上建三, 間普真吾, 大林正直, 呉本尭，第66回電気・情報関連学会中国支部連合大会，セッション23-2，2015/10（電子情報通信学会中国支部連合大会奨励賞）
52. WNNを用いたスライディングモード適応追従制御，有留健，大林正直，呉本尭，間普真吾，第24回計測自動制御学会中国支部学術講演会，pp. 138-139，2015/11
53. クラス相関ルールに基づくランダムフォレスト型識別システムの最適化，後藤駿，間普真吾，大林正直，呉本尭，第17回IEEE広島支部学生シンポジウム論文集，p.472-475，2015/11（優秀研究賞）
５．総説・解説記事
・ 遺伝的ネットワークプログラミングのアーキテクチャについて，間普真吾，平澤宏太郎，システム制御情報学会誌 システム／制御／情報 , Vol. 55，No. 11, pp. 480-485, 2011
６．招待講演等
・ チュートリアル講演発表
「遺伝的ネットワークプログラミングのアーキテクチャとその応用に向けた取組みについて」間普真吾，平澤宏太郎，第55回システム制御情報学会研究発表講演会，大阪，2011年5月17日
・ Plenary talk（Invited talk）
A Graph-based Evolutionary Algorithm: Genetic Network Programming (GNP) and Its Applications, Shingo Mabu, Annual Conference of Beijing Automation Association & International Symposium for Production, Education & Research Combination in Information Technology, Beijing, November 17, 2011
・ （独）科学技術振興機構新技術説明会「複雑系のスマートセキュリティシステムに関する研究」，間普真吾，2012年2月9日
７．共同研究
・ データマイニングシステムに関する共同研究（株式会社サムスン横浜研究所）（研究協力者）2012年
学術関係受賞
1. 電気学会優秀論文発表賞, 2007年9月
2. Best Paper Award (The 2015 International Conference on Artificial Life and Robotics), 2015年1月
競争的資金獲得実績
科研費獲得実績
・ 特別研究員奨励費 （代表）2003年4月 − 2006年3月 2,500千円
新しい進化論的計算手法「遺伝的ネットワークプログラミング」の研究
・ 若手研究 (B) （代表）2009年4月 − 2013年3月 研究経費4,420千円
遺伝的ネットワークプログラミングによる知識発見とその応用に関する研究
・ 基盤研究 (C) （分担）2013年4月 − 継続中 研究経費360千円
扁桃体モデルを核とする脳情報処理模倣型自律行動モデル開発とその応用
・ 基盤研究 (C) （分担）2014年4月 − 継続中 研究経費390千円
マルチモーダルインターフェースを備えた知能発達型知的システムとその応用
・ 若手研究 (B) （代表）2016年4月 − 2019年3月 研究経費3,510千円
自律的な知識の発見と構造化を実現するホロニック構造型識別器の開発とその応用
その他競争的資金獲得実績
・ JST 地域イノベーション創出総合支援事業「シーズ発掘試験」（代表）2007年4月 − 2008年3月 研究経費2,000千円遺伝的ネットワークプログラミングによる株式売買システムに関する研究
・ （財）北九州産業学術推進機構産学連携研究開発事業（シーズ探索助成）（代表）2008年 − 2009年3月 研究経費965千円遺伝的ネットワークプログラミングによるネットワークセキュリティシステムに関する研究
・ JST 研究成果最適展開支援事業（A-STEP）（代表）2010年 − 2011年3月 研究経費1,300千円遺伝的ネットワークプログラミングに基づくデータ分類法とそのネットワーセキュリティシステムへの応用
教育実績
＜山口大学工学部知能情報工学科，大学院理工学研究科＞
担当授業科目
・ 物理学実験Ｂ（学部1年後期） 2012年
・ 物理学実験Ｂ（学部1年前期8週／15週） 2016年
・ ものづくり創成実習 II （学部3年 後期）2013年 − 継続中
・ ソフトコンピューティング特論 （博士前期課程 前期2週／15週）2013年 − 2015年
・ ソフトコンピューティング特論 （博士前期課程 前期1週／8週）2016年 − 継続中
・ 大規模データ解析特論（博士前期課程 後期2週／8週）2016年 − 継続中
・ 複雑混沌系工学特論（博士後期課程 後期2週／15週）2014年 − 継続中
博士後期課程学生受入れ
・ Wirarama Wedashwara （国籍：インドネシア）2013年4月 − 2016年3月（学位取得）
教育活動に関する受賞（指導する学生の受賞）
・ 優秀卒業論文発表賞（山口大学工学部知能情報工学科），2014年3月
・ Best Paper Award, Innovative Application Research and Education (ICIARE 2014), 2014年12月
・ 優秀研究賞，第17回IEEE広島支部学生シンポジウム，2015年11月
・ 最優秀修士論文発表賞（山口大学大学院理工学研究科），2016年3月
・ 電子情報通信学会中国支部連合大会奨励賞，第66回電気・情報関連学会中国支部連合大会，2016年3月
その他
・ 学生短期海外研修プログラム開発および実施（インドネシア国立ウダヤナ大学）2014年3月1日 − 17日
＜早稲田大学理工学術院情報生産システム研究科＞
担当授業科目
・ 計算機言語基礎（修士課程1年後期）2007年9月 − 2011年2月
・ マルコフ決定プロセス（修士課程1年前期）2007年4月 − 2012年7月
その他
・ 修士論文研究指導資格
学内委員会活動
・ 工学部附属グローバル技術者養成センター学科選出委員 2013 年1 月 − 2016年3月
学会・社会貢献等活動
・ 委員
・ 2013 International Conference on Knowledge Science, Engineering and Management (KSEM2013) プログラム委員2013年4月 − 2013年8月
・ 計測自動制御学会 第19回創発システムシンポジウム実行委員 2013年4月 − 2013年9月
・ 計測自動制御学会 第22回計測自動制御学会中国支部学術講演会 実行委員（総務） 2013年4月 − 2013 年11月
・ 電気学会 確率的最適化適用技術調査専門委員会（委員）2013年4月 − 2014年3月
・ ACM Genetic and Evolutionary Computation Conference 2014 プログラム委員 2013年11月 − 2014年 7月
・ ACM Genetic and Evolutionary Computation Conference 2015プログラム委員 2014年 2月 − 2015 年 07 月
・ 計測自動制御学会 システム·情報部門システム工学部会（幹事）2013年1月 − 2014年12月
・ Journal of Advanced Computational Intelligence and Intelligent Informatics編集委員2012年 − 継続中
・ 電気学会 確率的最適化手法の理論的拡張と応用技術調査専門委員会委員2014年4月 − 継続中
・ 計測自動制御学会 中国支部運営委員 2014 年 01 月 − 2015年12月
・ 計測自動制御学会 システム·情報部門システム工学部会運営委員2013 年1月 − 継続中
・ 国立研究開発法人 科学技術推進機構，研究成果最適展開支援プログラム専門委員2012年 − 継続中
・ 国立研究開発法人 科学技術推進機構，マッチングプランナープログラム専門委員2015年−継続中
・ 公益財団法人ちゅうごく産業創造センター「中国地域質感色感研究会副委員長」2016年−継続中
・ 座長
・ 2007, 2010 IEEE Congress on Evolutionary Computation (IEEE CEC)
・ 2009, 2010 IEEE International Conference on Systems, Man, and Cybernetic (IEEE SMC)
・ 2010 Joint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems (SCIS & ISIS)
・ 2010, 2011,2014 SICE Annual Conference
・ 2013 第48回計測自動制御学会システム・情報部門システム工学部会研究会
・ 2015 The 2015 International Conference on Artificial Life and Robotics
・ 2015 第24回計測自動制御学会中国支部学術講演会
・ 2016 The 2016 International Conference on Artificial Life and Robotics
・ 査読
・ 2009 Journal of Intelligent and Robotic Systems (Springer)
・ 2009-2012 電子情報通信学会論文誌
・ 2009-2015 電気学会論文誌
・ 2010 Journal of Intelligent Learning Systems and Applications (Scientific Research)
・ 2011 European Journal of Operational Research
・ 2012 IEEE Transactions on Systems, Man, and Cybernetics
・ 2012, 2014 進化計算学会論文誌
・ 2012-2016 Journal of Advanced Computational Intelligence and Intelligent Informatics
・ 2013, 2014 Expert Systems with Applications (Elsevier)
・ 2013 IEEE Trans. on Automation Science and Engineering
・ 2013 IEEE Transactions on Automation Science and Engineering
・ 2013 Czech Science Foundation Grant
・ 2014 情報処理学会トランザクション
・ 2015 Journal of Robotics, Networking and Artificial Life
・ 2016 電子情報通信学会論文誌
・ その他，IEEE Congress on Evolutionary Computation, ACM Genetic and Evolutionary Computation Conference，SICE Annual Conferenceなどの査読多数