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Research

Field of Study

○ Artificial Intelligence
○ Artificial Intelligence

Subject of Study

○ 生物の進化適応に学ぶ工学システムの設計手法 (soft computing, machine learning, reinforcement learning, evolutionary learning, robot learning, autonomous agents, multi-agent systems, RoboCup, data mining, financial engineering) (マルチエージェントによる協調行動の創発的学習とそのゲーム，災害救助，金融工学等への応用)
○ 生物の進化適応に学ぶ工学システムの設計手法 (soft computing, machine learning, reinforcement learning, evolutionary learning, robot learning, autonomous agents, multi-agent systems, RoboCup, data mining, financial engineering) (自律エージェントの行動政策，マルチエージェントの協調行動および対戦型ゲームの戦略などの創発的学習最適化手法の開拓とゲームおよびシステムの設計への応用)

Book / Paper

Book:

1. Hiroaki Imade, Naoaki Mizuguchi, Isao Ono, Norihiko Ono and Masahiro Okamoto :
"Gridifying" an Evolutionary Algorithm for Inference of Genetic Networks Using the Improved GOGA Framework and Its Performance Evaluation on OBI Grid, in A. Konagaya and K. Sato(Eds.): Grid Computing in Life Science: First International Life Science Grid Workshop, LSGRID 2004, Revised Selected and Invited Papers,
Springer Berlin / Heidelberg, Berlin, Apr. 2005.
2. Norihiko Ono and Yoshihiro Fukuta :
Learning Coordinated Behavior in a Continuous Environment, in G. Weiss (Ed.): Distributed Artificial Intelligence Meets Machine Learning: Learning in Multi-Agent Environments, pp.73-81,
Springer-Verlag, Berlin Heiderberg New York, May 1997.
3. Norihiko Ono and Kenji Fukumoto :
A Modular Approach to Multi-agent Reinforcement Learning, in G. Weiss (Ed.): Distributed Artificial Intelligence Meets Machine Learning: Learning in Multi-Agent Environments, pp.25-39,
Springer-Verlag, Berlin Heiderberg New York, May 1997.
4. Norihiko Ono and Adel Torkaman Rahmani :
マルチエージェントと協調計算Ⅱ(石田亨: 編) (「人工生物群による通信の自己組織化」分担執筆),
近代科学社, Tokyo, Dec. 1993.
5. Norihiko Ono :
知識プログラミング(淵一博: 監修, 古川康一·溝口文雄: 共編 )(第3章「分散協調問題解決」分担執筆),
KYORITSU SHUPPAN.CO.,LTD, Tokyo, Sep. 1988.

Academic Paper (Judged Full Paper):

1. Yuichi Nagata, Akinori Imamiya and Norihiko Ono :
A genetic algorithm for the picture maze generation problem, Computers & Operations research,
Computers & Operations Research, Vol.115, 313-323, 2020.
(Tokushima University Institutional Repository: 114970,   DOI: 10.1016/j.cor.2019.104860)
2. Nobuaki Oki, Norihiko Ono and Yuichi Nagata :
Modeling of a Vehicle Routing Problem with Actual Constraints and Re-scheduling for Dynamic Requests,
Transactions of the Society of Instrument and Control Engineers, Vol.55, No.4, 313-323, 2019.
(DOI: 10.9746/sicetr.55.313,   CiNii: 1390001288129671936)
3. Keiichiro Terao, Norihiko Ono and Yuichi Nagata :
Parallelization of GA-EAX using Identical Population in all Processes,
Transaction of the Japanese Society for Evolutionary Computation, Vol.8, No.3, 100-110, 2018.
(DOI: 10.11394/tjpnsec.8.100,   CiNii: 1390001205364382848)
4. Takuya Yamabuki, Norihiko Ono and Yuichi Nagata :
同卓スケジューリング問題のモデル化とその動的スケジューリング,
Transactions of the Society of Instrument and Control Engineers, Vol.54, No.3, 346-356, 2018.
(DOI: 10.9746/sicetr.54.346,   CiNii: 1390282679486408320)
5. Isao Ono, Naoaki Mizuguchi, Naotoshi Nakashima, Norihiko Ono, Hidemoto Nakada, Satoshi Matsuoka, Satoshi Sekiguchi and Shin-ichi Tate :
Gridifying a Genetic Algorithm for NMR Three-dimensional Protein Structure Determination by Using Ninf-1 and Ninf-G,
Transactions of Information Processing Society of Japan, Vol.46, No.SIG12, 396-406, 2005.
(CiNii: 1050001337893191936)
6. Hiroaki Imade, Ryohei Morishita, Isao Ono, Norihiko Ono and Masahiro Okamoto :
A Grid-Oriented Genetic Algorithm Framework for Bioinformatics,
New Generation Computing, Vol.22, No.2, 177-186, 2004.
(DOI: 10.1007/BF03040956,   CiNii: 1571698601693575040,   Elsevier: Scopus)
7. Norihiko Ono and Kenji Fukumoto :
Synthesizing Collective Intelligence: A Modular Reinforcement Learning Approach,
Proceedings of the 3rd France-Japan Congress & 1st Europe-Asia Congress on Mechatronics, 416-420, 1996.
8. Adel Rahmani Torkaman and Norihiko Ono :
Constrained Optimization with Genetic Algorithms: Channel Routing Case,
Journal of Japanese Society for Artificial Intelligence, Vol.11, No.3, 461-469, 1996.
9. Adel Torkaman Rahmani and Norihiko Ono :
A Genetic Algorithm for the Two-Dimensional General Guillotine Cutting Problem,
Special Issue on Soft Computing, Journal of Advanced Software Research, Vol.3, No.1, 66-70, 1996.
10. Kenji Onaga, Takahiro Takechi and Norihiko Ono :
On Design of Wavefront-Driven Algorithms for Processing Large-Scale Band-Limited Matrices on Rotary Arrays,
Journal of the Franklin Institute, Vol.326, No.1, 27-61, 1989.
11. Kenji Onaga, Qi-Wei Ge and Norihiko Ono :
On Optimizing the Initial Token Distribution for a Periodic Petri Net Firing Sequence with Prescribed Firing Numbers,
Transactions of the Society of Instrument and Control Engineers, Vol.23, No.10, 1076-1083, 1987.
12. Norihiko Ono and Shigenobu Kobayashi :
A Parallel Object-Oriented Model for Monitoring Journal Editing Processes,
Control - Theory and Advanced Technology, Vol.2, No.3, 497-516, 1986.
13. Norihiko Ono and 小林 重信 :
通信/同期機構をもつ分散型プロダクションシステムPo-PS,
情報処理学会誌, Vol.27, No.6, 592-600, 1986.

Review, Commentary:

1. Norihiko Ono :
GAと人工生物の協調,
Journal of the Society of Instrument and Control Engineers, Vol.32, No.1, 69-75, Jan. 1993.

Proceeding of International Conference:

1. Naotoshi Nakashima, Akimitsu Matsubara, Isao Ono, Norihiko Ono and Shin-ichi Tate :
A Genetic Algorithm Taking Account of Substructures for NMR Three-Dimensional Protein Structure Determination,
Proc. 2005 Congress on Evolutionary Computation (CEC2005), Edinburgh, Sep. 2005.
2. Hiroaki Imade, Naoaki Mizuguchi, Isao Ono, Norihiko Ono and Masahiro Okamoto :
An Evolutionary Algorithm for Inference of Genetic Networks on A Grid Computing Environment,
Proc. Fifth International Conference on Simulated Evolution And Learning (CD-ROM), 1-6, Busan, Oct. 2004.
3. Hiroaki Imade, Naoaki Mizuguchi, Isao Ono, Norihiko Ono and Masahiro Okamoto :
"Gridifying" A Parallel NSS-EA using The Improved GOGA Framework And Its Performance Evaluation on OBI Grid,
1st Int'l Workshop on Life Science Grid (LSGRID2004), 159-160, Kanazawa, May 2004.
4. Isao Ono, Yoshiaki Seike, Ryohei Morishita, Norihiko Ono, Masahiko Nakatsui and Masahiro Okamoto :
An Evolutionary Algorithm Taking Account of Mutual Interactions among Substances for Inference of Genetic Networks,
Proc. 2004 Congress on Evolutionary Computation (CEC2004), 2060-2067, 2004.
5. Hiroaki Imade, Ryohei Morishita, Isao Ono, Norihiko Ono and Masahiro Okamoto :
A Framework of Grid-Oriented Genetic Algorithms for Large-Scale Optimization in Bioinformatics,
Proc. 2003 Congress on Evolutionary Computation (CEC2003), 623-630, 2003.
6. Ryohei Morishita, Hiroaki Imade, Isao Ono, Norihiko Ono and Masahiro Okamoto :
Finding Multiple Solutions Based on An Evolutionary Algorithm for Inference of Genetic Networks by S-system,
Proc. 2003 Congress on Evolutionary Computation (CEC2003), 615-622, 2003.
7. Hiroshi Takeichi, Isao Ono and Norihiko Ono :
A Genetic Hill Climbing for Function Optimization Using A Neighborhood Based on Interaction among Parameters,
Proc. 2003 Congress on Evolutionary Computation (CEC2003), 1251-1258, 2003.
8. Isao Ono, Hiroshi Fujiki, Masaki Ootsuka, Naoto Nakashima, Norihiko Ono and Shin-ich Tate :
Global Optimization of Protein 3-Dimensional Structures in NMR by A Genetic Algorithm,
Proc. 2002 Congress on Evolutionary Computation, 303-308, Honolulu, May 2002.
9. Yorikazu Takao, Isao Ono and Norihiko Ono :
Constructing Approximation Models Based on Agent-Based Simulations by Genetic Algorithms,
Proceedings of Fourth International Conference on Computational Intelligence and Multimedia Applications, 231-235, Yokosuka, Oct. 2001.
10. Isao Ono, Hiroshi Fujiki, Norihiko Ono and Shin-ichi Tate :
Determining Protein Structures by A Real-Coded Genetic Algorithm,
Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies (KES'2001), 778-782, Osaka, Sep. 2001.
11. Isao Ono, Miyuki Takahashi and Norihiko Ono :
Evolving Neural Networks in Environments with Delayed Rewards by A Real-Coded GA using the Unimodal Normal Distribution Crossover,
Proc. 2000 Congress on Evolutionary Computation (CEC2000), 659-666, La Jolla, Jul. 2000.
12. Isao Ono, Tetsuo Nijo and Norihiko Ono :
A Genetic Algorithm for Automatically Designing Modular Reinforcement Learning Agents,
Proc. 2000 Genetic and Evolutionary Computation Conference (GECCO2000), 203-210, Las Vegas, Jul. 2000.
13. Hiroshi Fujiki, Isao Ono and Norihiko Ono :
A Reinforcement Learning Scheme based on Decision Tree Representation of State Space and Its Genetic Acquisition,
Proceedings of 5th International Symposium on Artificial Life and Robotics, 563-567, Beppu, Jan. 2000.
14. Tetsuo Nijo, Isao Ono and Norihiko Ono :
Evolution of Modular Structures for Multiple Reinforcement Learning Agents,
Proceedings of 5th International Symposium on Artificial Life and Robotics, 576-579, Beppu, Jan. 2000.
15. Norihiko Ono and Shin-ichiro Yoshida :
Synthetic Collective Behavior by Multiple Reinforcement Learning Agents in Simulated Dodgeball Game,
Proceedings of 4th International Symposium on Artificial Life and Robotics, 540-543, Beppu, Jan. 1999.
16. Norihiko Ono and Shin-ichiro Yoshida :
Synthesis of Coordinated Behavior in Simulated Dodgeball Games,
Proceedings of the International Conference on Intelligent Systems 5, 663-668, Sapporo, Jun. 1998.
17. Norihiko Ono and Kenji Fukumoto :
Multi-agent Reinforcement Learning via Perception Decomposition,
Proceedings of EXPERSYS-97, 339-344, Sunderland, Oct. 1997.
18. Norihiko Ono and Kenji Fukumoto :
Multi-agent Reinforcement Learning via Perception Decomposition,
Proceedings of EXPERSYS-97, 339-344, Sunderland, Oct. 1997.
19. Norihiko Ono and Shin-ichiro Yoshida :
Learning to Coordinate: The Simulated Dodgeball Cases,
Proceedings of EXPERSYS-97, 345-349, Sunderland, Oct. 1997.
20. Norihiko Ono :
Synthesis of Collective Behavior by Multiple Agents via Temporal and Structural Credit Assignments,
Proceedings of the 3rd European Workshop on Reinforcement Learning, Renne, Oct. 1997.
21. Norihiko Ono and Takuya Tsugawa :
A Genetic Algorithm for the Generic Crew Scheduling Problem,
G. D. Smith, N. C. Steele, and R. F. Albrecht (Eds.): Artificial Neural Nets and Genetic Algorithms: Proceedings of the International Conference, 270-274, Norwich, Apr. 1997.
22. Norihiko Ono and Yoshihiro Fukuta :
Learning to Coordinate in a Continuous Environment,
ICMAS'96 Workshop Notes on Learning, Interactions and Organizations in Multiagent Environment, Kyoto, Dec. 1996.
23. Norihiko Ono and Kenji Fukumoto :
A Modular Approach to Multiagent Reinforcement Learning,
ICMAS'96 Workshop Notes on Learning, Interactions and Organizations in Multiagent Environment, Kyoto, Dec. 1996.
24. Norihiko Ono and Kenji Fukumoto :
Multi-agent Reinforcement Learning: A Modular Approach,
Proceedings of the Second International Conference on Multi-agent Systems, 252-258, Kyoto, Dec. 1996.
25. Norihiko Ono, Osamu Ikeda and Kenji Fukumoto :
Acquisition of Coordinated Behavior by Modular Q-learning Agents,
Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, 1525-1529, Osaka, Nov. 1996.
26. Norihiko Ono and Kenji Fukumoto :
Learning to Coordinate: A Reinforcement Learning Approach,
A.Niki-Lari (Ed.): EXPERSYS-96: Expert Systems Applications & Artificial Intelligence: Proceedings of EXPERSYS-96, 297-302, Paris, Oct. 1996.
27. Norihiko Ono and Yoshihiro Fukuta :
Multiagent Reinforcement Learning in a Continuous Environment,
A.Niki-Lari (Ed.): EXPERSYS-96: Expert Systems Applications & Artificial Intelligence: Proceedings of EXPERSYS-96, 291-296, Paris, Oct. 1996.
28. Norihiko Ono and Minoru Morinaga :
Acquisition of Optimal Communication by Episode-Sharing Artificial Organisms,
A.Niki-Lari (Ed.): EXPERSYS-96: Expert Systems Applications & Artificial Intelligence: Proceedings of EXPERSYS-96, 285-290, Paris, Oct. 1996.
29. Norihiko Ono and Takuya Tsugawa :
A Genetic Approach to the Generic Crew Scheduling Problem,
A.Niki-Lari (Ed.): EXPERSYS-96: Expert Systems Applications & Artificial Intelligence: Proceedings of EXPERSYS-96, 279-284, Paris, Oct. 1996.
30. Norihiko Ono and Yoshihiro Fukuta :
A CMAC-based Reinforcement Learning Approach to the Multi-agent Block-Pushing Problem,
Proceedings of the 3rd France-Japan Congress & 1st Europe-Asia Congress on Mechatronics, Vol.1, 421-425, Besancon, Oct. 1996.
31. Norihiko Ono, Kenji Fukumoto and Osamu Ikeda :
Collective Behavior by Modular Reinforcement-Learning Animats,
P. Maes, M. Mataric, J.-A. Meyer, J. Pollack, and S. W. Wilson(Eds.): From Animals to Animats 4: Proceedings of the Fourth International Conference on Simulation of Adaptive Behavior, 618-624, Massachusetts, Sep. 1996.
32. Norihiko Ono, Osamu Ikeda and Adel Torkaman Rahmani :
Synthesis of Herding and Specialized Behavior by Modular Q-learning Animats,
Artificial Life V Pre-Proceedings, 26-30, Kyoto, May 1996.
33. Adel Torkaman Rahmani and Norihiko Ono :
An Evolutionary Approach to Two-Dimensional Guillotine Cutting Problem,
Proceedings of 1995 IEEE International Conference on Evolutionary Computing, Vol.1, 148-151, Perth, Nov. 1995.
34. Norihiko Ono, Osamu Ikeda and Adel Torkaman Rahmani :
Synthesis of Organizational Behavior by Modular Q-learning Agents,
Proceedings of the 1995 IEEE/Nagoya University World Wisepersons Workshop on Fuzzy Logic and Neural Networks/Evolutionary Computation, 76-80, Nagoya, Nov. 1995.
35. Norihiko Ono, Toru Ohira and Adel Torkaman Rahmani :
Evolution of Intraspecies Communication in Q-Learning Artificial Organisms,
Proceedings of the ISCA International Conference: Fourth Golden West Conference on Intelligent Systems, 102-105, California, Jun. 1995.
36. Norihiko Ono and Takuya Okamato :
An Artificial Immune Network and Its Self-Organizing Nature,
Proceedings of the ISCA International Conference: Fourth Golden West Conference on Intelligent Systems, 21-24, California, Jun. 1995.
37. Norihiko Ono, Toru Ohira and Adel Torkaman Rahmani :
Emergent Organization of Interspecies Communication in Q-Learning Artificial Organisms,
F. Moran, A. Moreno, J. J. Merelo and P. Chacon(Eds.): Advances in Artificial Life: Third European Conference on Artificial Life Proceedings, 396-405, Granada, Jun. 1995.
38. Adel Torkaman Rahmani and Norihiko Ono :
A Genetic Algorithm for the Two-Dimensional General Guillotine Cutting Problem,
Proceedings of ICYCS'95 Workshop on Soft Computing, 39-44, Beijing, Jun. 1995.
39. Norihiko Ono, Toru Ohira and Adel Torkaman Rahmani :
Emergent Organization of Communication in Symbiotic Artificial Organisms,
Proceedings of the Fourteenth IASTED International Conference on Modelling, Identification, and Control, 145-148, Innsbruck, Feb. 1995.
40. Norihiko Ono and Takuya Okamoto :
An Artificial Immune Network System and Its Simulated Behavior,
Proceedings of the Fourteenth IASTED International Conference on Modelling, Identification and Control, 137-140, Innsbruck, Feb. 1995.
41. Norihiko Ono, Toshihiro Kataoka and Adel Torkaman Rahmani :
Evolutionary Organization of Cooperative Strategies in Learning Classifier System Organisms,
Proceedings of IASTED International Conference on Modelling, Simulation and Identification,, 237-240, Wakayama, Sep. 1994.
42. Norihiko Ono, Toshihiro Kataoka and Adel Torkaman Rahmani :
Evolution of Communication in Learning Multiple Robots,
M. Jamshidi, C. C. Nguyen, R. Lumia, and J. Yuh (Eds.): Intelligent Automation and Soft Computing: Trends in Research, Development, and Applications: Proceedings of the 5th International Symposium on Robotics and Manufacturing, Vol.1, 497-504, Hawaii, Aug. 1993.
43. Adel Torkaman Rahmani and Norihiko Ono :
A Genetic Algorithm for Channel Routing Problem,
Proceedings of the Fifth International Conference on Genetic Algorithms, 494-498, Illinois, Jun. 1993.
44. Adel Torkaman Rahmani and Norihiko Ono :
Co-Evolution of Communication in Artificial Organisms,
Proceedings of the 12th International Workshop on Distributed Artificial Intelligence, 281-293, Pennsylvania, May 1993.
45. Norihiko Ono and Adel Torkaman Rahmani :
Self-Organization of Communication in Distributed Learning Classifier Systems,
R. F. Albrecht, C. R. Reeves, and N. C. Steele (Eds.): Artificial Neural Nets and Genetic Algorithms: Proceedings of International Conference on Artificial Neural Nets and Genetic Algorithms, 361-367, Innsbruck, Apr. 1993.
46. Sigeru Omatu, Norihiko Ono and Minoru Fukumi :
Development of Decision Support System for the Environmental and Energy Problem by the Simulation Game,
Proc. of IFAC/IFORS/IAEE International Symposium on Energy System Management and Economics, 403-408, Tokyo, Nov. 1989.
47. Sigeru Omatu, Norihiko Ono and Minoru Fukumi :
Development of Decision Support System for the Environmental and Energy Problem by the Simulation Game,
Proceedings of IFAC/IFORS/IAEE International Symposium on Energy System Management and Economics, 403-408, Tokyo, Oct. 1989.
48. Kenji Onaga, Yoshiki Fushimi and Norihiko Ono :
Wavefront Computations of Band-Limited Matrix Operations on a Torus Data-Driven Array: FEM-TORUS,
Proceedings of the 1988 IEEE International Symposium on Circuits and Systems, 329-332, Espoo, Jun. 1988.
49. Kenji Onaga, Qi-Wei Ge and Norihiko Ono :
Firing Activity and Well-Behavedness of Data-Flow Nets,
Proceedings of COMPSAC87, 707-713, Tokyo, Oct. 1987.
50. Shigenobu Kobayashi and Norihiko Ono :
A Distributed Problem Solving Approach to Asynchronous and Concurrent Processes,
Proceedings of the 7th International Conference on Multiple Criteria Decision Making, 20-29, Kyoto, Oct. 1987.
51. Qi-Wei Ge, Takenobu Tanida, Kenji Onaga and Norihiko Ono :
Construction of a T-Base and Design of a Periodic Firing Sequence of a Live and Bounded Petri Net,
Proceedings of the 25th Annual Allerton Conference on Communication, Control and Computing, 305-314, Illinois, Sep. 1987.

Proceeding of Domestic Conference:

1. Yuta Yamami, Yuichi Nagata and Norihiko Ono :
個別的な突然変異による進化型深層強化学習,
2019年度計測自動制御学会関西支部・システム制御情報学会シンポジウム, Jan. 2020.
2. Minoru Matsumoto, Yuichi Nagata and Norihiko Ono :
ガウスベルヌーイ制限付きボルツマンマシンのエネルギー関数による最適化に関する考察,
2019年度計測自動制御学会関西支部・システム制御情報学会シンポジウム, Jan. 2020.
3. Takumi Ishikawa, Yuichi Nagata and Norihiko Ono :
On Optimization of Recurrent Neural Network Topologies along with Weights using CMA-ES,
第46回知能システムシンポジウム資料, Mar. 2019.
4. Naruki Kawagishi, Naoya Okada, Yuichi Nagata and Norihiko Ono :
Extraction of effective game record and learning of high quality simulation policy based on self-play by Monte Carlo Daihinmin players,
第46回知能システムシンポジウム資料, Mar. 2019.
5. Masatoshi Abe, Yuichi Nagata and Norihiko Ono :
A High Quality Training Data Generation Method for Effective Learning of Simulation Policy Focusing on the Best Hand on Game Tree,
第31回自律分散システム・シンポジウム資料, Jan. 2019.
6. Ryota Shimomura, Yuichi Nagata and Norihiko Ono :
Learning of Effective Strategies for One-on-one Battle Games by Co-evolutionary CMA-ES,
第31回自律分散システム・シンポジウム資料, Jan. 2019.
7. Yuichi Nagata, 今宮 明則 and Norihiko Ono :
絵画的迷路生成問題に対する遺伝的アルゴリズムの開発と最長経路問題への適用,
2018進化計算シンポジウム, Dec. 2018.
8. Masateru Shimodaira, Yuichi Nagata and Norihiko Ono :
A Topology and Weight Evolving Artificial Neural Network ANS-TWEANN and Its Application to the Pursuit Problem,
平成29年度 計測自動制御学会関西支部・システム制御情報学会 若手研究発表会, Jan. 2018.
9. Toshihide Haga, Yuichi Nagata and Norihiko Ono :
Acquisition of Simulation Policy by Bonanza Method and Its Application to Monte Carlo Daihinmin,
平成29年度 計測自動制御学会関西支部・システム制御情報学会 若手研究発表会, Jan. 2018.
10. Kenichi Tomita, Yuichi Nagata and Norihiko Ono :
Acquisition of Effective Strategies for One-on-one Competitive Games by Co-evolutionary Niching Generation Alternation Models,
平成29年度 計測自動制御学会関西支部・システム制御情報学会 若手研究発表会, Jan. 2018.
11. Takuya Yokoi, Shimomura Ryota, Yuichi Nagata and Norihiko Ono :
On niching genetic algorithms aimed at the evolution of neural network agents,
平成29年度 計測自動制御学会関西支部・システム制御情報学会 若手研究発表会, Jan. 2018.
12. Yudai Oda, Norihiko Ono and Yuichi Nagata :
車両配送問題における追加注文を考慮した配送計画システムの提案,
第12回コンピューテーショナル・インテリジェンス研究会, Dec. 2017.
13. Akinori Imamiya, Norihiko Ono and Yuichi Nagata :
MAを用いた絵画的迷路の自動生成,
第12回コンピューテーショナル・インテリジェンス研究会, Dec. 2017.
14. 山吹 卓也, Norihiko Ono and Yuichi Nagata :
同卓スケジューリング問題のモデル化とメタ戦略を用いた近似解法の開発,
第29回自律分散システム・シンポジウム, Jan. 2017.
15. 田浦 拓, Norihiko Ono and Yuichi Nagata :
進化計算を用いた非球面カメラレンズ設計,
第29回自律分散システム・シンポジウム, Jan. 2017.
16. 寺尾 圭一郎, Norihiko Ono and Yuichi Nagata :
差分データを用いた巡回セールスマン問題のための GA-EAX の効率的並列化,
進化計算学会 進化計算シンポジウム2016, Dec. 2016.
17. 西村 悠哉, Norihiko Ono and Yuichi Nagata :
解構造のシームレスな変異と集団の多様性維持に基づくリカレントニューラルネットの進化的設計,
進化計算学会 進化計算シンポジウム2016, Dec. 2016.
18. 今宮 明則, Norihiko Ono and Yuichi Nagata :
GA を用いた絵画的迷路の自動生成,
進化計算学会 進化計算シンポジウム2016, Dec. 2016.
19. 沖 展彰, Norihiko Ono and Yuichi Nagata :
実問題制約付き車両配送問題に対する配送計画システムの提案,
進化計算学会 進化計算シンポジウム2016, Dec. 2016.
20. Makoto Saitoh, Norihiko Ono and Yuichi Nagata :
A Niching GA for Optimization Problems with Deceptive Structure,
計測自動制御学会 システム・情報部門 学術講演会 2016, Dec. 2016.
21. 寺尾 圭一郎, Norihiko Ono and Yuichi Nagata :
大規模巡回セールスマン問題に対する交叉EAXを用いた遺伝的アルゴリズムの並列化,
計測自動制御学会 システム・情報部門学術講演会2015, Nov. 2015.
22. Kohsuke Nishino, Norihiko Ono and Yuichi Nagata :
An Framework for PORTS-based Strongly Typed Genetic Programming,
計測自動制御学会 第42回知能システムシンポジウム資料, Mar. 2015.
23. Toshihito Horita, Yuya Nishimura, Norihiko Ono and Yuichi Nagata :
Evolutionary Design of Recurrent Neural Network Topologies Along with Weights Based on Seamless Topology Mutations and An Adaptive Niching Generation Alternation Model,
計測自動制御学会 第42回知能システムシンポジウム資料, Mar. 2015.
24. Kohsuke Nishino, Norihiko Ono and Yoshio Mogami :
On Effective Generation Alternation Models for Recurrent Neural Network Topologies Along with Weights,
計測自動制御学会 第41回知能システムシンポジウム資料, Mar. 2014.
25. Toshihito Horita, Norihiko Ono and Yoshio Mogami :
On Effective Generation Alternation Models for Recurrent Neural Network Topologies Along with Weights,
計測自動制御学会 第41回知能システムシンポジウム資料, Mar. 2014.
26. Takahiro Horibe, Yoshio Mogami, Kenji Ikeda, Norihiko Ono and Yasuyuki Ibaraki :
Construction of Stock Trading Support System Using Neural Network,
第56回システム制御情報学会研究発表講演会講演論文集, 373-374, May 2012.
27. Kazuiro Koguro, Yoshio Mogami, Kenji Ikeda and Norihiko Ono :
Forecasting System of Actual Temperature and Humidity Using Stochastic Real-Valued Unit,
第56回システム制御情報学会研究発表講演会講演論文集, 371-372, May 2012.
28. Yuta Kanzaki, Yoshio Mogami, Kenji Ikeda and Norihiko Ono :
Autonomous Transfer System in Environment Which Have Irregular Moving Obstacles,
第56回システム制御情報学会研究発表講演会講演論文集, 173-174, May 2012.
29. Tomoaki Kaihara, Yoshio Mogami, Kenji Ikeda and Norihiko Ono :
Autonomous Cooperation System of Mobile Objects Using Stochastic Real-Valued Unit,
第56回システム制御情報学会研究発表講演会講演論文集, 171-172, May 2012.
30. Kenji Takatori, Yoshio Mogami, Norihiko Ono and Kenji Ikeda :
Development of a victim search system by using autonomous learning unit,
第20回計測自動制御学会中国支部学術講演会論文集, 230-231, Nov. 2011.
31. Yasuyuki Ibaraki, Yoshio Mogami, Norihiko Ono, Kenji Ikeda and Syunji Nozumi :
ニューラルネットワークを用いた株価短期変動レンジ予測システムの構築,
2011年度計測自動制御学会四国支部学術講演会論文集, Nov. 2011.
32. Tomoaki Tamada, Yoshio Mogami, Norihiko Ono, Kenji Ikeda and Haruhiko Tomida :
スイッチング非定常環境下での学習ユニットによる未知大域的最適解探索,
2011年度計測自動制御学会四国支部学術講演会論文集, Nov. 2011.
33. Ryuichi Yuasa, Yoshio Mogami, Norihiko Ono, Kenji Ikeda, Masahiro Miyamichi and Hiroki Uesugi :
Construction of Autonomous Sailing System of Ship with SRV Learning Unit,
Proceedings of the 55th Annual Conference of the Institute of Systems, Control and Information Engineers, 455-456, May 2011.
34. Masaki Sugikawa, Yoshio Mogami, Norihiko Ono, Kenji Ikeda, Masahiro Miyamichi and Hiroki Uesugi :
Forecasting System of Actual Sunshine Duration based on Weather Statistics Information,
Proceedings of the 55th Annual Conference of the Institute of Systems, Control and Information Engineers, 453-454, May 2011.
35. Yasuyuki Ibaraki, Yoshio Mogami, Norihiko Ono, Kenji Ikeda, Natsuki Oba and Syunji Nozumi :
Short-term Change Prediction of Stock Prices by Using Neural Network,
Proceedings of the 55th Annual Conference of the Institute of Systems, Control and Information Engineers, 451-452, May 2011.
36. Tomoaki Tamada, Yoshio Mogami, Norihiko Ono, Kenji Ikeda, Hiroki Okada and Haruhiko Tomida :
Global Optimal Solution Search under Unknown Switching Environment,
Proceedings of the 55th Annual Conference of the Institute of Systems, Control and Information Engineers, 403-404, May 2011.
37. Shunji Nozumi, Yoshio Mogami, Norihiko Ono, Kenji Ikeda and Natsuki Ooba :
Stock buying and selling prediction using neural network and stock automatic buying and selling system,
2010年度計測自動制御学会四国支部学術講演会論文集, Nov. 2010.
38. Haruhiko Tomida, Yoshio Mogami, Norihiko Ono, Kenji Ikeda and Hiroki Okada :
Construction of Stochastic Estimator-Type Hierarchical Structure Learning Algorithm and Its Preformance,
2010年度計測自動制御学会四国支部学術講演会論文集, Nov. 2010.
39. Kenji Takatori, Yoshio Mogami, Norihiko Ono and Kenji Ikeda :
Construction of Autonomous Transfer System for Rescue by Plural Movement Bodies,
2010年度計測自動制御学会四国支部学術講演会論文集, Nov. 2010.
40. Hiroki Uesugi, Yoshio Mogami, Norihiko Ono, Kenji Ikeda and Masahiro Miyamichi :
Property of Stochastic Real-Valued Unit in Noisy Environment,
2010年度計測自動制御学会四国支部学術講演会論文集, Nov. 2010.
41. Natsuki Oba, Yoshio Mogami, Norihiko Ono and Kenji Ikeda :
Prediction of Stock Prices Change by Neural Network,
第52回自動制御連合講演会講演論文集, Nov. 2009.
42. Ryo Nishitani, Yoshio Mogami, Norihiko Ono and Kenji Ikeda :
Consturuction and verification of stock prices forecast system using neural networks,
第52回自動制御連合講演会講演論文集, Nov. 2009.
43. Hiroki Okada, Yoshio Mogami, Norihiko Ono, Norio Baba and Kenji Ikeda :
Application of Continuous Action Learning Automata in Global Optimal Solution Search of Unknown Function,
第52回自動制御連合講演会講演論文集, Nov. 2009.
44. Masahiro Miyamichi, Yoshio Mogami, Norihiko Ono and Kenji Ikeda :
Construction of Autonomous Transfer System by Plural Movement Bodies Using Stochastic Real-Valued Unit,
第52回自動制御連合講演会講演論文集, Nov. 2009.
45. Natsuki Oba, Yoshio Mogami, Norihiko Ono and Kenji Ikeda :
Change Prediction of Stock Prices by Using Neural Network,
Proceedings of the 53rd Annual Conference of the Institute of Systems, Control and Information Engineers, 631-632, May 2009.
46. Masahiro Miyamichi, Yoshio Mogami, Norihiko Ono and Kenji Ikeda :
Intruder Capture System by Autonomous Transfer System Using Stochastic Real-Valued Unit,
Proceedings of the 53rd Annual Conference of the Institute of Systems, Control and Information Engineers, 497-498, May 2009.
47. Hiroki Okada, Yoshio Mogami, Norihiko Ono, Norio Baba and Kenji Ikeda :
Global Optimal Solution Search of Unknown Function Using Continuous Action Learning Automata,
Proceedings of the 53rd Annual Conference of the Institute of Systems, Control and Information Engineers, 465-466, May 2009.
48. 赤峰 利幸, Yoshio Mogami, Norihiko Ono and Kenji Ikeda :
Autonomous Transfer System for Mobile Object Based on Stochastic Learning,
2008 SHIKOKU-SECTION JOINT CONVENTION RECORD OF THE INSTITUTES OF ELECTRICAL AND RELATED ENGINEERS, 321, Sep. 2008.
49. 高畠 真大, Yoshio Mogami, Norihiko Ono and Kenji Ikeda :
Forecast System of Stock Prices by Nueral Networks,
2008 SHIKOKU-SECTION JOINT CONVENTION RECORD OF THE INSTITUTES OF ELECTRICAL AND RELATED ENGINEERS, 320, Sep. 2008.
50. Yusuke Shimada, Yoshio Mogami, Norihiko Ono, Norio Baba and Kenji Ikeda :
Construction of pursuit-type variable hierarchical structure learning algorithm and its performance,
Proceedings of the 52nd Annual Conference of the Institute of Systems, Control and Information Engineers, 567-568, May 2008.
51. Koichiro Murata, Yoshio Mogami, Norihiko Ono and Kenji Ikeda :
Autonomous transfer system for mobile object using stochastic real-valued learning unit,
Proceedings of the 52nd Annual Conference of the Institute of Systems, Control and Information Engineers, 565-566, May 2008.
52. Ryo Nishitani, Yoshio Mogami, Norihiko Ono and Kenji Ikeda :
Consturuction of stock prices forecast system by using neural networks,
Proceedings of the 52nd Annual Conference of the Institute of Systems, Control and Information Engineers, 507-508, May 2008.
53. Masayuki Imoto, Yoshio Mogami, Norihiko Ono and Norio Baba :
Global Optimal Solution Search of the Unknown Function Using Noisy Observations by Learning Automata,
平成19年度電気関係学会四国支部連合大会講演論文集, 290, Sep. 2007.
54. Masayuki Imoto, Yoshio Mogami, Norihiko Ono, Norio Baba, Kenji Ikeda and Takao Shimomura :
Search for Global Optimal Solution of The Unknown Function by Using Variable Hierarchical Structure Learning Automata,
講演論文集, 717-718, May 2007.
55. Toshiyuki Akamine, Yoshio Mogami, Norihiko Ono, Kenji Ikeda and Takao Shimomura :
Autonomous Transfer System for Mobile Object Using Stochastic Real-Valued Reinforcement Learning Unit,
講演論文集, 681-682, May 2007.
56. Nobuhiro Matsuda, Yuichi Miyoshi, Jun Wada, Norihiko Ono and Yoshio Mogami :
A Genetic Programming Scheme Considering Its Applicability to Non-Markovian Tasks,
Proceedings of the 51th Annual Conference of the Institute of Systems, Control and Information Engineers (ISCIE), May 2007.
57. Naoki Tsutsui, Yuta Majima, Nobuhiro Matsuda, Norihiko Ono and Yoshio Mogami :
On Generation Alternation Models for Designing Autonomous Agents with Genetic Programming,
Proceedings of the 51th Annual Conference of the Institute of Systems, Control and Information Engineers (ISCIE), May 2007.
58. Manabu Yamauchi, Takuya Tsumori, Masayuki Kamada, Kazuaki Yamaguchi, Norihiko Ono and Yoshio Mogami :
On Co-evolutionary Design of Effective Strategies in One-on-one Contests,
Proceedings of the 51th Annual Conference of the Institute of Systems, Control and Information Engineers (ISCIE), May 2007.
59. Naoki Furuya, Takanori Iwasa, Norihiko Ono and Yoshio Mogami :
On Evolutionary Optimization of Recurrent Neural Network Topologies Along with Weights,
Proceedings of the 51th Annual Conference of the Institute of Systems, Control and Information Engineers (ISCIE), May 2007.
60. Masahiro Takahata, Yoshio Mogami, Norihiko Ono, Norio Baba, Kenji Ikeda and Takao Shimomura :
Stock prices forecast system by using neural networks,
講演論文集, 637-638, May 2007.
61. Noriko Kudo, Atsushi Yoshiki, Hayato Hashi, Kazuaki Yamaguchi and Norihiko Ono :
A Co-evolutionary Generation Alternation Model for Designing Effective Strategies in One-on-one Competitive Games,
Proceedings of the 50th Annual Conference of the Institute of Systems, Control and Information Engineers (ISCIE), 53-54, May 2006.
62. Yuta Majima, Nobuhiro Matsuda and Norihiko Ono :
On Emergent Design of Effective Strategies in One-on-one Competitive Games with Genetic Programming,
Proceedings of the 50th Annual Conference of the Institute of Systems, Control and Information Engineers (ISCIE), 49-50, May 2006.
63. Masaya Ichimoto, Naoki Furuya and Norihiko Ono :
Evolutionary Optimization of Recurrent Neural Network Topologies Along with Weights Considering Diversity of Searching Population,
Proceedings of the 50th Annual Conference of the Institute of Systems, Control and Information Engineers (ISCIE), 55-56, May 2006.
64. Masaya Shimizu, Yuichi Miyoshi and Norihiko Ono :
On Emergent Function Optimization with Multi-agent Search,
Proceedings of the 50th Annual Conference of the Institute of Systems, Control and Information Engineers (ISCIE), 23-24, May 2006.
65. Yoshiaki Seike, Norihiko Ono, Isao Ono, Masahiko Nakatsui and Masahiro Okamato :
ネットワーク構造のシンプルさを考慮した進化アルゴリズムに基づく遺伝子ネットワーク推定,
計測自動制御学会第33回知能システムシンポジウム資料, Mar. 2006.
66. Yoshiaki Seike, Norihiko Ono, Isao Ono and Masahiro Okamato :
遺伝子ネットワーク推定のための進化アルゴリズムにおける初期集団生成法の提案,
計測自動制御学会 システム・情報部門学術講演会2005講演論文集, Nov. 2005.
67. Masayuki Kamada, Hayato Hashi, Norihiko Ono and Isao Ono :
On Co-Evolutionary Design of Effective Strategies in One-on-one Contests,
Proceedings of the 49th Annual Conference of the Institute of Systems, Control and Information Engineers (ISCIE), 157-158, May 2005.
68. Kazuaki Yamaguchi, Hayato Hashi, Norihiko Ono and Isao Ono :
Emergent Design of Effective Strategies in One-on-one Contests with a Co-evolutionary Generation Alternation Model,
Proceedings of the 49th Annual Conference of the Institute of Systems, Control and Information Engineers (ISCIE), 155-156, May 2005.
69. Nobuhiro Matsuda, Yuuki Tabata, Norihiko Ono and Isao Ono :
On Genetic Programming Suppressing Code Bloat,
Proceedings of the 49th Annual Conference of the Institute of Systems, Control and Information Engineers (ISCIE), 135-136, May 2005.
70. Tatsuji Ninomiya, Masaya Shimizu, Norihiko Ono and Isao Ono :
On Emergent Design of Multi-agent Systems with Evolution Strategies,
Proceedings of the 49th Annual Conference of the Institute of Systems, Control and Information Engineers (ISCIE), 133-134, May 2005.

Et cetera, Workshop:

1. Takahiro Yawata, Norihiko Ono, Isao Ono, Yoshihiro Nakajima, Hiroshi Satou, Naoki Mori, Hiroyuki Matsui and Hajime Kita :
An Extention of the U-Mart System,
計測自動制御学会第38回システム工学部会研究会資料, 71-76, Mar. 2006.

Grants-in-Aid for Scientific Research (KAKEN Grants Database @ NII.ac.jp)

  • A CO-EVOLUTIONARY MULTI-AGENT REINFORCEMENT LEARNING SCHEME TAKING ACCOUNT OF APPLICATION TO COMPETITIVE ENVIRONMENTS (Project/Area Number: 16500081 )
  • MULTI-AGENT REINFORCEMENT LEARNING WITH NEUROEVOLUTION (Project/Area Number: 14580421 )
  • Multi-agent Reinforcement Learning Based on Compressed Representation of Decision Policies (Project/Area Number: 12680387 )
  • Synthesis of Coordinated Behavior by Autonomous Agents (Project/Area Number: 10680384 )
  • 創発的適応・学習に関する理論とその応用 (Project/Area Number: 07243101 )
  • SELF-ORGANIZING MULTI-AGENT SYSTEMS : ARTIFICIAL LIFE APPROACHES (Project/Area Number: 07680402 )
  • A Partial match technique for multi-attribute keys and its text retrieval application (Project/Area Number: 07558273 )
  • 知識システム群の協調メカニズムに関する基礎研究 (Project/Area Number: 04218218 )
  • 知識システム群の協調メカニズムに関する基礎研究 (Project/Area Number: 03234220 )
  • 知識システム群の協調メカニズムに関する基礎研究 (Project/Area Number: 02248215 )
  • 並列・分散プロセスにおける協調メカニズムの基礎研究 (Project/Area Number: 01550289 )
  • Search by Researcher Number (60194594)