| Modelling of biological manufacturing systems for dynamic reconfiguration K Ueda, J Vaario, K Ohkura CIRP Annals 46 (1), 343-346, 1997 | 198 | 1997 |
| Robust evolution strategies K Ohkura, Y Matsumura, K Ueda Applied Intelligence 15, 153-169, 2001 | 44 | 2001 |
| MBEANN: Mutation-based evolving artificial neural networks K Ohkura, T Yasuda, Y Kawamatsu, Y Matsumura, K Ueda Advances in Artificial Life: 9th European Conference, ECAL 2007, Lisbon …, 2007 | 29 | 2007 |
| A homogeneous mobile robot team that is fault-tolerant T Yasuda, K Ohkura, K Ueda Advanced Engineering Informatics 20 (3), 301-311, 2006 | 29 | 2006 |
| Accelerating steady-state genetic algorithms based on CUDA architecture M Oiso, T Yasuda, K Ohkura, Y Matumura 2011 IEEE congress of evolutionary computation (CEC), 687-692, 2011 | 28 | 2011 |
| Extended pso with partial randomization for large scale multimodal problems T Yasuda, Y Matsumura, K Ohkura 2010 World Automation Congress, 1-6, 2010 | 27 | 2010 |
| Generalization of the potential method for blending three surfaces K Ohkura, Y Kakazu Computer-aided design 24 (11), 599-610, 1992 | 27 | 1992 |
| Implementing genetic algorithms to CUDA environment using data parallelization M Oiso, Y Matsumura, T Yasuda, K Ohkura Technical Gazette 18 (4), 511-517, 2011 | 26 | 2011 |
| Robust evolution strategies K Ohkura, Y Matsumura, K Ueda Simulated Evolution and Learning: Second Asia-Pacific Conference on …, 1999 | 26 | 1999 |
| Autonomous task allocation by artificial evolution for robotic swarms in complex tasks Y Wei, M Hiraga, K Ohkura, Z Car Artificial Life and Robotics 24, 127-134, 2019 | 24 | 2019 |
| Autonomous role assignment in a homogeneous multi-robot system T Yasuda, K Ohkura Journal of Robotics and Mechatronics 17 (5), 596-604, 2005 | 24 | 2005 |
| On the traveling salesman problem in nautical environments: an evolutionary computing approach to optimization of tourist route paths in Medulin, Croatia S Baressi Šegota, I Lorencin, K Ohkura, Z Car Pomorski zbornik 57 (1), 71-87, 2019 | 23 | 2019 |
| Multiple-vector self-adaptation in evolutionary algorithms DB Fogel, GB Fogel, K Ohkura BioSystems 61 (2-3), 155-162, 2001 | 23 | 2001 |
| Developing end-to-end control policies for robotic swarms using deep Q-learning Y Wei, X Nie, M Hiraga, K Ohkura, Z Car Journal of Advanced Computational Intelligence and Intelligent Informatics …, 2019 | 22 | 2019 |
| Collective behavior acquisition of real robotic swarms using deep reinforcement learning T Yasuda, K Ohkura 2018 second IEEE international conference on robotic computing (IRC), 179-180, 2018 | 22 | 2018 |
| A self adaptive hybrid enhanced artificial bee colony algorithm for continuous optimization problems H Shan, T Yasuda, K Ohkura BioSystems 132, 43-53, 2015 | 22 | 2015 |
| A symbiotic evolutionary algorithm for dynamic facility layout problem M Chang, K Ohkura, K Ueda, M Sugiyama Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat …, 2002 | 21 | 2002 |
| Evolutionary programming with non-coding segments for real-valued function optimization Y Matsumura, K Ohkura, K Ueda IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on …, 1999 | 19 | 1999 |
| An extended framework for overcoming premature convergence O Kazuhiro Proc. the Seventh International Conference on Genetic Algorithms, 260-267, 1997 | 17 | 1997 |
| A genetic algorithm for nonstationary function optimization problems K Ohkura, K Ueda Transactions of the Institute of Systems, Control and Information Engineers …, 1995 | 17 | 1995 |
