Generalization of the potential method for blending three surfaces. - Kazuhiro Ohkura; Yukinori Kakazu (Comput. Aided Des., 1992)

An Extended Genetic Algorithm based on the Neutral Theory. - Kazuhiro Ohkura; Kanji Ueda (BCEC, 1997)

An Extended Framework for Overcoming Premature Convergence. - Kazuhiro Ohkura; Kanji Ueda (ICGA, 1997)

Statistical Characteristics of Evolution Strategies. - Yoshiyuki Matsumura; Kazuhiro Ohkura; Kanji Ueda (PPSN, 2000)

Some experimental observations of (μ/μ, λ)-evolution strategies. - Ming Chang; Kazuhiro Ohkura; Kang Ueda (CEC, 2001)

Evolutionary dynamics of evolutionary programming in noisy environment. - Yoshiyuki Matsumura; Kazuhiro Ohkura; Kanji Ueda (CEC, 2001)

A genetic algorithm approach to large scale combinatorial optimization problems in the advertising industry. - Kazuhiro Ohkura; Takashi Igarashi; Kanji Ueda; Shin'ichiro Okauchi; Hisashi Matsunaga (ETFA (2), 2001)

Robust Evolution Strategies. - Kazuhiro Ohkura; Yoshiyuki Matsumura; Kanji Ueda (Appl. Intell., 2001)

Stable grasp planning by evolutionary programming. - Yoshiaki Katada; Mikhail M. Svinin; Kazuhiro Ohkura; Kanji Ueda (IEEE Trans. Ind. Electron., 2001)

A symbiotic evolutionary algorithm for dynamic facility layout problem. - Ming Chang; Kazuhiro Ohkura; Kanji Ueda; Masaharu Sugiyama (IEEE Congress on Evolutionary Computation, 2002)

Advantages of global discrete recombination in (μ/μ, λ)-evolution strategies. - Yoshiyuki Matsumura; Kazuhiro Ohkura; Kanji Ueda (IEEE Congress on Evolutionary Computation, 2002)

Group selection and its application to constrained evolutionary optimization. - Ming Chang; Kazuhiro Ohkura; Kanji Ueda; Masaharu Sugiyama (IEEE Congress on Evolutionary Computation, 2003)

Artificial evolution of pulsed neural networks on the motion pattern classification system. - Yoshiaki Katada; Kazuhiro Ohkura; Kanji Ueda (CIRA, 2003)

Cooperative behavior acquisition mechanism for a multi-robot system based on reinforcement learning in continuous space. - Toshiyuki Yasuda; Kazuhiro Ohkura; Toshiharu Taura (CIRA, 2003)

Modeling coevolutionary genetic algorithms on two-bit landscapes: partnering strategies. - Ming Chang; Kazuhiro Ohkura; Kanji Ueda; Masaharu Sugiyama (IEEE Congress on Evolutionary Computation, 2004)

The Nei's standard genetic distance in artificial evolution. - Yoshiaki Katada; Kazuhiro Ohkura; Kanji Ueda (IEEE Congress on Evolutionary Computation, 2004)

Modeling Coevolutionary Genetic Algorithms on Two-Bit Landscapes: Random Partnering. - Ming Chang; Kazuhiro Ohkura; Kanji Ueda; Masaharu Sugiyama (GECCO (1), 2004)

An Approach to Evolutionary Robotics Using a Genetic Algorithm with a Variable Mutation Rate Strategy. - Yoshiaki Katada; Kazuhiro Ohkura; Kanji Ueda (PPSN, 2004)

Improving the Robustness of Reinforcement Learning for a Multi-Robot System Environment. - Toshiyuki Yasuda; Kazuhiro Ohkura (WSTST, 2005)

Autonomous Role Assignment in a Homogeneous Multi-Robot System. - Toshiyuki Yasuda; Kazuhiro Ohkura (J. Robotics Mechatronics, 2005)

Estimating the Degree of Neutrality in Fitness Landscapes by the Nei's Standard Genetic Distance - An Application to Evolutionary Robotics -. - Yoshiaki Katada; Kazuhiro Ohkura (IEEE Congress on Evolutionary Computation, 2006)

An Update Method of Computer Simulation for Evolutionary Robotics. - Yoshiaki Katada; Kazuhiro Ohkura (IAS, 2006)

A homogeneous mobile robot team that is fault-tolerant. - Toshiyuki Yasuda; Kazuhiro Ohkura; Kanji Ueda (Adv. Eng. Informatics, 2006)

Grid task scheduling algorithm R3Q for evolution strategies. - Yoshiyuki Matsumura; Kazuhiro Ohkura; Yoshiki Matsuura; Masashi Oiso; Noriyuki Fujimoto; Kenichi Hagihara (IEEE Congress on Evolutionary Computation, 2007)

MBEANN: Mutation-Based Evolving Artificial Neural Networks. - Kazuhiro Ohkura; Toshiyuki Yasuda; Yuichi Kawamatsu; Yoshiyuki Matsumura; Kanji Ueda (ECAL, 2007)

Improving Search Efficiency in the Action Space of an Instance-Based Reinforcement Learning Technique for Multi-robot Systems. - Toshiyuki Yasuda; Kazuhiro Ohkura (ECAL, 2007)

Application of Grid Task Scheduling Algorithm RR to Medium-Grained Evolution Strategies. - Yoshiyuki Matsumura; Masashi Oiso; Masaki Matsuda; Noriyuki Fujimoto; Kenichi Hagihara; Kazuhiro Ohkura; Jeremy L. Wyatt; Xin Yao 001 (ICNC (4), 2007)

Application of grid task scheduling algorithm R3Q to evolutionary multi-robotics problem. - Masashi Oiso; Yoshiyuki Matsumura; Kazuhiro Ohkura; Noriyuki Fujimoto; Yoshiki Matsuura (IEEE Congress on Evolutionary Computation, 2008)

A Reinforcement Learning Technique with an Adaptive Action Generator for a Multi-robot System. - Toshiyuki Yasuda; Kazuhiro Ohkura (SAB, 2008)

Analysis on topologies of fitness landscapes with both neutrality and ruggedness based on neutral networks. - Yoshiaki Katada; Kazuhiro Ohkura (GECCO, 2009)

Evaluation of Generation Alternation Models in Evolutionary Robotics. - Masashi Oiso; Yoshiyuki Matsumura; Toshiyuki Yasuda; Kazuhiro Ohkura (IWNC, 2009)

Coordinating the adaptive behavior for swarm robotic systems by using topology and weight evolving artificial neural networks. - Kazuhiro Ohkura; Toshiyuki Yasuda; Yoshiyuki Matsumura (IEEE Congress on Evolutionary Computation, 2010)

Accelerating steady-state genetic algorithms based on CUDA architecture. - Masashi Oiso; Toshiyuki Yasuda; Kazuhiro Ohkura; Yoshiyuki Matsumura (IEEE Congress on Evolutionary Computation, 2011)

Instance-Based Reinforcement Learning Technique with a Meta-learning Mechanism for Robust Multi-Robot Systems. - Toshiyuki Yasuda; Motohiro Wada; Kazuhiro Ohkura (TAROS, 2011)

Preservation and Application of Acquired Knowledge Using Instance-Based Reinforcement Learning for Multi-Robot Systems. - Junki Sakanoue; Toshiyuki Yasuda; Kazuhiro Ohkura (J. Adv. Comput. Intell. Intell. Informatics, 2011)

Improving the Robustness of Instance-Based Reinforcement Learning Robots by Metalearning. - Toshiyuki Yasuda; Kousuke Araki; Kazuhiro Ohkura (J. Adv. Comput. Intell. Intell. Informatics, 2011)

Cluster Analysis of Collective Behavior for a Robotic Swarm. - Kazuhiro Ohkura; Toshiyuki Yasuda; Chikara Morishita; Yoshiyuki Matsumura (IAS (2), 2012)

Extracting functional subgroups from an evolutionary robotic swarm by identifying the community structure. - Kazuhiro Ohkura; Toshiyuki Yasuda; Yoshiyuki Matsumura (NaBIC, 2012)

An incremental approach to an evolutionary robotic swarm. - Takaaki Kadota; Toshiyuki Yasuda; Yoshiyuki Matsumura; Kazuhiro Ohkura (SII, 2012)

A (μ, λ) evolutionary and particle swarm hybrid algorithm, with an application to dinosaur gait optimization. - Yoshiyuki Matsumura; Ayumu Kobayashi; Kiyotaka Sugiyama; Todd C. Pataky; Toshiyuki Yasuda; Kazuhiro Ohkura; Bill Sellers (IWCIA, 2013)

Analyzing collective behavior in evolutionary swarm robotic systems based on an ethological approach. - Toshiyuki Yasuda; Nanami Wada; Kazuhiro Ohkura; Yoshiyuki Matsumura (ADPRL, 2013)

(μ, λ) evolutionary and particle swarm hybrid algorithm over cloud computing, with an application to dinosaur gait optimization. - Yoshiyuki Matsumura; Kiyotaka Sugiyama; Toshiyuki Yasuda; Kazuhiro Ohkura (SII, 2013)

A self adaptive hybrid artificial bee colony algorithm for solving CEC 2013 real-parameter optimization problems. - Hai Shan; Toshiyuki Yasuda; Kazuhiro Ohkura (SII, 2013)

Behavior sequence analysis of incrementally evolving robotic swarms in a foraging task. - Toshiyuki Yasuda; Kazuhiro Ohkura; Nanami Wada; Yoshiyuki Matsumura (SII, 2013)

Coordinating the Collective Behavior of Swarm Robotics Systems Based on Incremental Evolution. - Kazuhiro Ohkura; Toshiyuki Yasuda; Yoshiyuki Matsumura (SMC, 2013)

Multi-robot Cooperation Based on Continuous Reinforcement Learning with Two State Space Representations. - Toshiyuki Yasuda; Kazuhiro Ohkura; Kazuaki Yamada (SMC, 2013)

Generating Cooperative Collective Behavior in Swarm Robotic Systems. - Kazuhiro Ohkura; Toshiyuki Yasuda; Yoshiyuki Matsumura (J. Adv. Comput. Intell. Intell. Informatics, 2013)

Cooperative Transport by a Swarm Robotic System Based on CMA-NeuroES Approach. - Tian Yu; Toshiyuki Yasuda; Kazuhiro Ohkura; Yoshiyuki Matsumura; Masanori Goka (J. Adv. Comput. Intell. Intell. Informatics, 2013)

GPU Implementation of Food-Foraging Problem for Evolutionary Swarm Robotics Systems. - Kazuhiro Ohkura; Toshiyuki Yasuda; Yoshiyuki Matsumura; Masaki Kadota (ANTS Conference, 2014)

A levy flight-based hybrid artificial bee colony algorithm for solving numerical optimization problems. - Hai Shan; Toshiyuki Yasuda; Kazuhiro Ohkura (IEEE Congress on Evolutionary Computation, 2014)

Evolutionary swarm robotics approach to a pursuit problem. - Toshiyuki Yasuda; Kazuhiro Ohkura; Tosei Nomura; Yoshiyuki Matsumura (RiiSS, 2014)

An evolutionary approach to sudoku puzzles with filtered mutations. - Zhiwen Wang; Toshiyuki Yasuda; Kazuhiro Ohkura (CEC, 2015)

A self adaptive hybrid enhanced artificial bee colony algorithm for continuous optimization problems. - Hai Shan; Toshiyuki Yasuda; Kazuhiro Ohkura (Biosyst., 2015)

Proceedings in Adaptation, Learning and Optimization. - Yufei Wei; Toshiyuki Yasuda; Kazuhiro Ohkura (IES, 2016)

Adaptive role assignment for self-organized flocking of a real robotic swarm. - Toshiyuki Yasuda; Shigehito Nakatani; Akitoshi Adachi; Masaki Kadota; Kazuhiro Ohkura (Artif. Life Robotics, 2016)

Collective cognition: A case study of evolutionary swarm robotics in the collective foraging problem with poison. - Yufei Wei; Toshiyuki Yasuda; Kazuhiro Ohkura (SII, 2017)

ANTS 2016 special issue: Editorial. - Marco Dorigo; Mauro Birattari; Xiaodong Li 001; Manuel López-Ibáñez 001; Kazuhiro Ohkura; Carlo Pinciroli; Thomas Stützle (Swarm Intell., 2017)

Collective Behavior Acquisition of Real Robotic Swarms Using Deep Reinforcement Learning. - Toshiyuki Yasuda; Kazuhiro Ohkura (IRC, 2018)

Evolutionary Emergence of Path Formation with Autonomous Specialization in a Robotic Swarm. - Motoaki Hiraga; Kazuhiro Ohkura (ALIFE, 2018)

Evolving autonomous specialization in congested path formation task of robotic swarms. - Motoaki Hiraga; Yufei Wei; Toshiyuki Yasuda; Kazuhiro Ohkura (Artif. Life Robotics, 2018)

Generating and analyzing hierarchical interaction in a flock of robotic swarms. - Toshiyuki Yasuda; Kazuhiro Ohkura (Artif. Life Robotics, 2018)

Evolutionary Acquisition of Autonomous Specialization in a Path-Formation Task of a Robotic Swarm. - Motoaki Hiraga; Toshiyuki Yasuda; Kazuhiro Ohkura (J. Adv. Comput. Intell. Intell. Informatics, 2018)

Evolving Collective Cognition of Robotic Swarms in the Foraging Task with Poison. - Motoaki Hiraga; Yufei Wei; Kazuhiro Ohkura (CEC, 2019)

Visualizing Deep Q-Learning to Understanding Behavior of Swarm Robotic System. - Xiaotong Nie; Motoaki Hiraga; Kazuhiro Ohkura (IES, 2019)

Autonomous task allocation by artificial evolution for robotic swarms in complex tasks. - Yufei Wei; Motoaki Hiraga; Kazuhiro Ohkura; Zlatan Car (Artif. Life Robotics, 2019)

Developing End-to-End Control Policies for Robotic Swarms Using Deep Q-learning. - Yufei Wei; Xiaotong Nie; Motoaki Hiraga; Kazuhiro Ohkura; Zlatan Car (J. Adv. Comput. Intell. Intell. Informatics, 2019)

Effects of Congestion on Swarm Performance and Autonomous Specialization in Robotic Swarms. - Motoaki Hiraga; Kazuhiro Ohkura (J. Robotics Mechatronics, 2019)

Centralized Business-to-Business Networks in the Japanese Textile and Apparel Industry: Using Network Analysis and an Agent-Based Model. - Yusaku Ogai; Yoshiyuki Matsumura; Yusuke Hoshino; Toshiyuki Yasuda; Kazuhiro Ohkura (J. Robotics Mechatronics, 2019)

Sharing Experience for Behavior Generation of Real Swarm Robot Systems Using Deep Reinforcement Learning. - Toshiyuki Yasuda; Kazuhiro Ohkura (J. Robotics Mechatronics, 2019)

Behavioral specialization emerges from the embodiment of a robotic swarm. - Motoaki Hiraga; Yasumasa Tamura; Kazuhiro Ohkura (Artif. Life Robotics, 2020)

Generating collective foraging behavior for robotic swarm using deep reinforcement learning. - Boyin Jin; Yupeng Liang; Ziyao Han; Kazuhiro Ohkura (Artif. Life Robotics, 2020)

Evolving collective cognition for object identification in foraging robotic swarms. - Motoaki Hiraga; Yufei Wei; Kazuhiro Ohkura (Artif. Life Robotics, 2021)

Generating and Analyzing Collective Step-Climbing Behavior in a Multi-legged Robotic Swarm. - Daichi Morimoto; Motoaki Hiraga; Kazuhiro Ohkura; Masaharu Munetomo (ANTS Conference, 2022)

Topology and weight evolving artificial neural networks in cooperative transport by a robotic swarm. - Motoaki Hiraga; Kazuhiro Ohkura (Artif. Life Robotics, 2022)

A hierarchical training method of generating collective foraging behavior for a robotic swarm. - Boyin Jin; Yupeng Liang; Ziyao Han; Motoaki Hiraga; Kazuhiro Ohkura (Artif. Life Robotics, 2022)

Improving generative adversarial network with multiple generators by evolutionary algorithms. - Yupeng Liang; Ziyao Han; Xiaotong Nie; Kazuhiro Ohkura (Artif. Life Robotics, 2022)

Evolving collective step-climbing behavior in multi-legged robotic swarm. - Daichi Morimoto; Motoaki Hiraga; Naoya Shiozaki; Kazuhiro Ohkura; Masaharu Munetomo (Artif. Life Robotics, 2022)

Generating collective behavior of a multi-legged robotic swarm using an evolutionary robotics approach. - Daichi Morimoto; Motoaki Hiraga; Naoya Shiozaki; Kazuhiro Ohkura; Masaharu Munetomo (Artif. Life Robotics, 2022)

Swarm Crawler Robots Using Lévy Flight for Targets Exploration in Large Environments. - Yoshiaki Katada; Sho Hasegawa; Kaito Yamashita; Naoki Okazaki; Kazuhiro Ohkura (Robotics, 2022)

Echo state networks for embodied evolution in robotic swarms. - Motoaki Hiraga; Yoshiaki Katada; Kazuhiro Ohkura (Artif. Life Robotics, 2023)

Generating collective wall-jumping behavior for a robotic swarm with self-teaching automatic curriculum learning. - Xiaotong Nie; Yupeng Liang; Ziyao Han; Kazuhiro Ohkura (Artif. Life Robotics, 2023)

Autonomous highway driving using reinforcement learning with safety check system based on time-to-collision. - Xiaotong Nie; Yupeng Liang; Kazuhiro Ohkura (Artif. Life Robotics, 2023)

When Less Is More in Embodied Evolution: Robotic Swarms Have Better Evolvability with Constrained Communication. - Motoaki Hiraga; Daichi Morimoto; Yoshiaki Katada; Kazuhiro Ohkura (J. Robotics Mechatronics, 2023)

MBEANN for Robotic Swarm Controller Design and the Behavior Analysis for Cooperative Transport. - Yoshiaki Katada; Takumi Hirokawa; Motoaki Hiraga; Kazuhiro Ohkura (J. Robotics Mechatronics, 2023)

Generating Collective Behavior of a Multi-Legged Robotic Swarm Using Deep Reinforcement Learning. - Daichi Morimoto; Yukiha Iwamoto; Motoaki Hiraga; Kazuhiro Ohkura (J. Robotics Mechatronics, 2023)

Developing multi-agent adversarial environment using reinforcement learning and imitation learning. - Ziyao Han; Yupeng Liang; Kazuhiro Ohkura (Artif. Life Robotics, 2023)

Generating collective behavior of a robotic swarm using an attention agent with deep neuroevolution. - Arumu Iwami; Daichi Morimoto; Naoya Shiozaki; Motoaki Hiraga; Kazuhiro Ohkura (Artif. Life Robotics, 2023)

Swarm robots using Lévy walk with concession in targets exploration. - Yoshiaki Katada; Kazuhiro Ohkura (Artif. Life Robotics, 2023)

An evolutionary robotics approach to a multi-legged robotic swarm in a rough terrain environment. - Daichi Morimoto; Haruhi Tsukamoto; Motoaki Hiraga; Kazuhiro Ohkura; Masaharu Munetomo (Artif. Life Robotics, 2023)

Collective Transport Behavior in a Robotic Swarm with Hierarchical Imitation Learning. - Ziyao Han; Fan Yi; Kazuhiro Ohkura (J. Robotics Mechatronics, 2024)