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Norihiko Ono
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2020 – today
- 2020
- [j2]Yuichi Nagata
, Akinori Imamiya, Norihiko Ono:
A genetic algorithm for the picture maze generation problem. Comput. Oper. Res. 115: 104860 (2020)
2000 – 2009
- 2005
- [c14]Naotoshi Nakashima, Akimitsu Matsubara, Isao Ono, Norihiko Ono, Shin-ichi Tate:
A genetic algorithm taking account of substructures for NMR three-dimensional protein structure determination. Congress on Evolutionary Computation 2005: 1761-1768 - 2004
- [j1]Hiroaki Imade, Ryohei Morishita, Isao Ono, Norihiko Ono, Masahiro Okamoto:
A Grid-Oriented Genetic Algorithm Framework for Bioinformatics. New Gener. Comput. 22(2): 177-186 (2004) - [c13]Isao Ono, Yoshiaki Seike, Ryohei Morishita, Norihiko Ono, Masahiko Nakatsui, Masahiro Okamoto:
An evolutionary algorithm taking account of mutual interactions among substances for inference of genetic networks. IEEE Congress on Evolutionary Computation 2004: 2060-2067 - [c12]Hiroaki Imade, Naoaki Mizuguchi, Isao Ono, Norihiko Ono, Masahiro Okamoto:
"Gridifying" an Evolutionary Algorithm for Inference of Genetic Networks Using the Improved GOGA Framework and Its Performance Evaluation on OBI Grid. LSGRID 2004: 171-186 - 2003
- [c11]Ryohei Morishita, Hiroaki Imade, Isao Ono, Norihiko Ono, Masahiro Okamoto:
Finding multiple solutions based on an evolutionary algorithm for inference of genetic networks by S-system. IEEE Congress on Evolutionary Computation 2003: 615-622 - [c10]Hiroaki Imade, Ryohei Morishita, Isao Ono, Norihiko Ono, Masahiro Okamoto:
A framework of grid-oriented genetic algorithms for large-scale optimization in bioinformatics. IEEE Congress on Evolutionary Computation 2003: 623-630 - [c9]Hiroshi Takeichi, Naoaki Mizuguchi, Isao Ono, Norihiko Ono:
A genetic hill climbing method for function optimization using a neighborhood based on interactions among parameters. IEEE Congress on Evolutionary Computation 2003: 1251-1258 - 2002
- [c8]Isao Ono, Hiroshi Fujiki, Masaki Ootsuka, Naotoshi Nakashima, Norihiko Ono, Shin-ichi Tate:
Global optimization of protein 3-dimensional structures in NMR by a genetic algorithm. IEEE Congress on Evolutionary Computation 2002: 303-308 - 2000
- [c7]Isao Ono, Miyuki Takahashi, Norihiko Ono:
Evolving neural networks in environments with delayed rewards by a real-coded GA using the unimodal normal distribution crossover. CEC 2000: 659-666 - [c6]Isao Ono, Tetsuo Nijo, Norihiko Ono:
A Genetic Algorithm for Automatically Designing Modular Reinforcement Learning Agents. GECCO 2000: 203-210
1990 – 1999
- 1996
- [c5]Norihiko Ono, Kenji Fukumoto:
A Modular Approach to Multi-Agent Reinforcement Learning. ECAI Workshop LDAIS / ICMAS Workshop LIOME 1996: 25-39 - [c4]Norihiko Ono, Yoshihiro Fukuta:
Learning Coordinated Behavior in a Continuous Environment. ECAI Workshop LDAIS / ICMAS Workshop LIOME 1996: 73-81 - [c3]Norihiko Ono, Osamu Ikeda, Kenji Fukumoto:
Acquisition of coordinated behavior by modular Q-learning agents. IROS 1996: 1525-1529 - 1995
- [c2]Norihiko Ono, T. Ohira, Adel Torkaman Rahmani:
Emergent Organization of Interspecies Communication in Q-Learning Artificial Organisms. ECAL 1995: 396-405 - 1993
- [c1]Adel Torkaman Rahmani, Norihiko Ono:
A Genetic Algorithm for Channel Routing Problem. ICGA 1993: 494-498
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