Kazuhiro Ohkura

发表

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2015 .

1A1-M02 Cluster Analysis of Group Behavior in Swarm Robotic Systems : Approach of Complex Networks(Evolution and Learning for Robotics)

Kazuhiro Ohkura, Toshiyuki Yasuda, Chikara Morishita, 2011 .

Apply incremental evolution with CMA-NeuroES controller for a robust swarm robotics system

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2014, 2014 Proceedings of the SICE Annual Conference (SICE).

An evolutionary approach to sudoku puzzles with filtered mutations

Kazuhiro Ohkura, Toshiyuki Yasuda, Zhiwen Wang, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Generating and Analyzing Collective Behavior in a Robotic Swarm by the Use of Deep Reinforcement Learning and Deep Neuroevolution

Kazuhiro Ohkura, Yoshiyuki Matsumura, Daichi Morimoto, 2020, Transactions of the Institute of Systems, Control and Information Engineers.

Generating Cooperative Collective Behavior in Swarm Robotic Systems

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2013, J. Adv. Comput. Intell. Intell. Informatics.

Stable grasp planning by evolutionary programming

Kazuhiro Ohkura, Mikhail M. Svinin, Yoshiaki Katada, 2001, IEEE Trans. Ind. Electron..

Application of R3Q for Medium-Grained Task with Nonuniform Computational Granularity

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2012 .

Analysis of Behavior Strategy on Evolutionary Robotics Using Self-organization Maps

Kazuhiro Ohkura, Yoshiyuki Matsumura, Masanori Goka, 2010 .

1A1-D11 Implementating Island Real-Coded Genetic Algorithms with GPU Computing(Evolution and Learning for Robotics(1))

Kazuhiro Ohkura, Toshiyuki Yasuda, Naoki Shimatani, 2012 .

Application of Grid Task Scheduling Algorithm RR to Medium-Grained Evolution Strategies

Xin Yao, Kazuhiro Ohkura, Yoshiyuki Matsumura, 2007, Third International Conference on Natural Computation (ICNC 2007).

Cooperative Transport by a Swarm Robotic System Based on CMA-NeuroES Approach

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2013, J. Adv. Comput. Intell. Intell. Informatics.

1A1-O10 Preservation and Application of Acquired Knowledge for Improving a Robustness of Multi-Robot Systems(Evolution and Learning for Robotics)

Kazuhiro Ohkura, Toshiyuki Yasuda, Junki Sakanoue, 2011 .

Autonomous Role Assignment in Homogeneous Multi-Robot Systems(Multi-agent and Learning,Session: TP2-A)

Kazuhiro Ohkura, Toshiyuki Yasuda, Toshiharu Taura, 2004 .

1A1-O04 The analysis of Cooperative Behavior in Reinforcement Learning Multi-Robot Box-Pushing Tasks by using Shaping(Evolution and Learning for Robotics)

Kazuhiro Ohkura, Toshiyuki Yasuda, Masanori Munechika, 2011 .

Reinforcement Learning with Autonomous Segmentation for Continuous State and Action Spaces

Kazuhiro Ohkura, Kazuaki Yamada, Kanji Ueda, 2002 .

Robust Instance-Based Reinforcement Learning for Multi-Robot Systems(Multi-agent and Learning,Session: TP2-A)

Kazuhiro Ohkura, Ryota Washizaki, 2004 .

Artificial evolution of pulsed neural networks on the motion pattern classification system

Kazuhiro Ohkura, Yoshiaki Katada, Kanji Ueda, 2003, Proceedings 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation. Computational Intelligence in Robotics and Automation for the New Millennium (Cat. No.03EX694).

Robust Swarm Robotics System Using CMA-NeuroES with Incremental Evolution

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2015 .

Evolutionary Acquisition of Reinforcement Learning Frame for Multi-agent : The Balance of Global Reward and Individual Reward

Kazuhiro Ohkura, Kanji Ueda, Hideaki Yajima, 2000 .

An Evolutionary Approach to Designing Social Multi-Agent Systems

Kazuhiro Ohkura, Tomoki Taniguchi, Toshiharu Taura, 2004 .

Improving Search Efficiency in the Action Space of an Instance-Based Reinforcement Learning Technique for Multi-robot Systems

Kazuhiro Ohkura, Toshiyuki Yasuda, T. Yasuda, 2007, ECAL.

Collective Behavior Analysis in Swarm Robotics Systems Based on the Ethological Approach

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2014 .

Autonomous Role Assignment in a Homogeneous Multi-Robot System

Kazuhiro Ohkura, Toshiyuki Yasuda, T. Yasuda, 2005, J. Robotics Mechatronics.

Generating collective foraging behavior for robotic swarm using deep reinforcement learning

Kazuhiro Ohkura, Boyin Jin, Yupeng Liang, 2020, Artificial Life and Robotics.

Two Classifier Systems for Reinforcement Learning of Motion Patterns

Kazuhiro Ohkura, Kanji Ueda, Kazuaki Yamada, 2001 .

2P1-I06 Cooperative Behavior Acquisition of a Robotic Swarm Based on Ensemble Reinforcement Learning(Swarm Robotics)

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2013 .

A Cooperatively Coevolutionary Genetic Algorithm to the Dynamic Facility Layout Problems

Kazuhiro Ohkura, Kanji Ueda, Ming Chang, 2002 .

2A1-K6 Stable grasp pranning by Evolutionary Programming : 2nd report: synthesis of the finger joint compliance

Kazuhiro Ohkura, Yoshiaki Katada, Mikhail Svinin, 2001 .

Adaptation to a Dynamic Environment by Using GA and SLA

Kazuhiro Ohkura, Kanji Ueda, 1997 .

Hidden Layer Structure of EANN in Swarm Robotic Systems

Kazuhiro Ohkura, Toshiyuki Yasuda, Yukihiko Kotani, 2010 .

1A1-D10 Cooperative Behavior Acquisition with Reinforcement Learning Robots Based on the Mechanism of Selecting the State Space Representations(Evolution and Learning for Robotics(1))

Kazuhiro Ohkura, Toshiyuki Yasuda, Junki Sakanoue, 2012 .

Multi-robot Cooperation Based on Continuous Reinforcement Learning with Two State Space Representations

Kazuhiro Ohkura, Toshiyuki Yasuda, Kazuaki Yamada, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

2P1-I07 Analysis of Collective Behavior based on Ethology in Foraging Problem(Swarm Robotics)

Kazuhiro Ohkura, Toshiyuki Yasuda, Nanami Wada, 2013 .

Improving the Robustness of Instance-based Reinforcement Learning Robots by Metalearning

Kazuhiro Ohkura, Toshiyuki Yasuda, Kousuke Araki, 2010, SOCO 2010.

Adaptive role assignment for self-organized flocking of a real robotic swarm

Kazuhiro Ohkura, Toshiyuki Yasuda, Masaki Kadota, 2016, Artificial Life and Robotics.

2A2-J03 Experiments for Generating Flocking Behavior of a Real Robotic Swarm(Swarm Robotics)

Kazuhiro Ohkura, Toshiyuki Yasuda, Akitoshi Adachi, 2014 .

Visualizing Deep Q-Learning to Understanding Behavior of Swarm Robotic System

Kazuhiro Ohkura, Motoaki Hiraga, Xiaotong Nie, 2019, IES.

Real-Valued Engineering Function Optimization by Evolution Strategies that Use Redundant Individual Representation

Kazuhiro Ohkura, Yoshiyuki Matsumura, Kanji Ueda, 1999 .

2A2-D16 Experiments on Cooperative Behavior of Arm-Type Robot with a Human Partner : an Approach by Reinforcement Learning

Kazuhiro Ohkura, Toshiyuki Yasuda, Shuhei Sakimoto, 2009 .

Hierarchical Interaction Based Flocking in Swarm Robotic Systems: 階層性に基づく群れ行動生成と解析

Kazuhiro Ohkura, Toshiyuki Yasuda, Shigehito Nakatani, 2017 .

3930 Behavior Acquisition of an Autonomous Robot Based on Reinforcement Learning with a Function of Adaptive Segmentation of the Action Space

Kazuhiro Ohkura, Toshiyuki Yasuda, Toshiharu Taura, 2005 .

A Method of Analyzing Collective Behavior in a Swarm Robotic System Based on Clustering

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2012 .

Effects of Congestion on Swarm Performance and Autonomous Specialization in Robotic Swarms

Kazuhiro Ohkura, Motoaki Hiraga, K. Ohkura, 2019, J. Robotics Mechatronics.

Accelerating steady-state genetic algorithms based on CUDA architecture

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Evolving autonomous specialization in congested path formation task of robotic swarms

Kazuhiro Ohkura, Toshiyuki Yasuda, Motoaki Hiraga, 2018, Artificial Life and Robotics.

Analysis of behavioural strategies on Evolutionary Swarm Robotics Systems using functional circles with Self-organizing Maps

Kazuhiro Ohkura, Masanori Goka, 2014, 2014 Proceedings of the SICE Annual Conference (SICE).

A levy flight-based hybrid artificial bee colony algorithm for solving numerical optimization problems

Kazuhiro Ohkura, Toshiyuki Yasuda, Hai Shan, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

Improving the Robustness of Instance-Based Reinforcement Learning for Multi-Robot Systems

Kazuhiro Ohkura, Toshiyuki Yasuda, 2006 .

The Nei's standard genetic distance in artificial evolution

Kazuhiro Ohkura, Yoshiaki Katada, Kanji Ueda, 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

Use of Artificial Neural Network for Estimation of Propeller Torque Values in a CODLAG Propulsion System

Kazuhiro Ohkura, Zlatan Car, Daniel Štifanić, 2020, Journal of Maritime & Transportation Science.

GPU Implementation of Food-Foraging Problem for Evolutionary Swarm Robotics Systems

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2014, ANTS Conference.

2A2-D14 Convergence behavior acquisition based on reinforcement learning ability of BRL for autonomous mobile robots

Kazuhiro Ohkura, Toshiyuki Yasuda, Kousuke Araki, 2009 .

Estimating the Degree of Neutrality in Fitness Landscapes by the Nei’s Standard Genetic Distance – An Application to Evolutionary Robotics –

Kazuhiro Ohkura, Yoshiaki Katada, K. Ohkura, 2006, 2006 IEEE International Conference on Evolutionary Computation.

Designing collective behavior of a swarm system using interactive evolutionary computation

Kazuhiro Ohkura, Yoshiyuki Matsumura, Motoaki Hiraga, 2020 .

An Approach to Evolutionary Robotics Using a Genetic Algorithm with a Variable Mutation Rate Strategy

Kazuhiro Ohkura, Yoshiaki Katada, Kanji Ueda, 2004, PPSN.

Generating Collective Behavior of Robotic Swarm based on Deep Reinforcement Learning and Analysis of Controller

Kazuhiro Ohkura, Yoshiyuki Matsumura, Daichi Morimoto, 2019 .

A swarm robotics approach to cooperative package-pushing problems with evolving recurrent neural networks

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2010, Proceedings of SICE Annual Conference 2010.

Collective cognition: A case study of evolutionary swarm robotics in the collective foraging problem with poison

Kazuhiro Ohkura, Toshiyuki Yasuda, Yufei Wei, 2017, 2017 IEEE/SICE International Symposium on System Integration (SII).

Preservation and Application of Learning Agent's Starategies by using Probabilistic Network

Kazuhiro Ohkura, Toshiharu Taura, Kazuma Shinohara, 2004 .

Hybrid Optimization Based on Classical Evolution Strategies and Particle Swarm Optimization Applies to Car Racing Problem

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2010 .

Self-Organized Task Allocation between Reinforcement Learning Robots and a Human Partner

Kazuhiro Ohkura, Toshiyuki Yasuda, Soichiro Nomura, 2012 .

Modelling of Biological Manufacturing Systems for Dynamic Reconfiguration

Kazuhiro Ohkura, Kanji Ueda, Jari Vaario, 1997 .

A proposal of CPR-graph method for assembly sequences generation

Kazuhiro Ohkura, Jian Wang, Kanji Ueda, 1996 .

Design for a Multi-Robot System based on Embodied Cognition

Kazuhiro Ohkura, Toshiyuki Yasuda, Toshiharu Taura, 2003 .

Cooperative Behavior Acquisition of Homogenous Multiple Mobile Robots

Kazuhiro Ohkura, Kanji Ueda, K. Kawakami, 2002 .

A self adaptive hybrid enhanced artificial bee colony algorithm for continuous optimization problems

Kazuhiro Ohkura, Toshiyuki Yasuda, Hai Shan, 2015, Biosyst..

Autonomous Specialization in a Multi-Robot System using Evolving Neural Networks

Kazuhiro Ohkura, Masanori Goka, 2011 .

Grid Task Scheduling Algorithm R3Q for Evolving Artificial Neural Networks

Kazuhiro Ohkura, Yoshiyuki Matsumura, Kenichi Hagihara, 2008 .

An Extended Genetic Algorithm based on the Neutral Theory

Kazuhiro Ohkura, Kanji Ueda, 1997, BCEC.

Evolving Collective Cognition of Robotic Swarms in the Foraging Task with Poison

Kazuhiro Ohkura, Motoaki Hiraga, Yufei Wei, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

Basic Study on the Evolution of Autonomous Mobile Robot Applied On-line Model Update

Kazuhiro Ohkura, T Taura, S Takasaki, 2004 .

A cooperative/competitive co-evolutionary learning approach to sorting network problems

Kazuhiro Ohkura, Kanji Ueda, Ming Chang, 1999 .

Consensus Achievement of a Robotics Swarm by Using Neuroevolution

Kazuhiro Ohkura, Daichi Morimoto, Motoaki Hiraga, 2020 .

Evolving robot controllers for a homogeneous robotic swarm

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2011, 2011 IEEE/SICE International Symposium on System Integration (SII).

A duration based behavior analyze approach for swarm robotics system

Kazuhiro Ohkura, Toshiyuki Yasuda, Tian Yu, 2015, 2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE).

1A1-M10 Behavior acquisition based on reinforcement learning ability of BRL for autonomous mobile robots with meta-learning mechanism(Evolution and Learning for Robotics)

Kazuhiro Ohkura, Toshiyuki Yasuda, Kousuke Araki, 2011 .

Response threshold-based task allocation in a reinforcement learning robotic swarm

Kazuhiro Ohkura, Toshiyuki Yasuda, Koki Kage, 2014, 2014 IEEE 7th International Workshop on Computational Intelligence and Applications (IWCIA).

Evolving collective cognition for object identification in foraging robotic swarms

Kazuhiro Ohkura, Motoaki Hiraga, Yufei Wei, 2020, Artificial Life and Robotics.

Evolutionary swarm robotics approach to a pursuit problem

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2014, 2014 IEEE Symposium on Robotic Intelligence in Informationally Structured Space (RiiSS).

The Effect of Multi-Parent Recombination on Evolution Strategies for Noisy Objective Functions

Kazuhiro Ohkura, Yoshiyuki Matsumura, Kanji Ueda, 2003 .

Stable grasp planning by evolutionary programming

Kazuhiro Ohkura, Kazuhiro Ueda, Mikhail Svinin, 2000, 2000 26th Annual Conference of the IEEE Industrial Electronics Society. IECON 2000. 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation. 21st Century Technologies.

A Reinforcement Learning Technique with an Adaptive Action Generator for a Multi-robot System

Kazuhiro Ohkura, Toshiyuki Yasuda, T. Yasuda, 2008, SAB.

Analysis on topologies of fitness landscapes with both neutrality and ruggedness based on neutral networks

Kazuhiro Ohkura, Yoshiaki Katada, 2009, GECCO '09.

2A2-D10 Acquirement of Surrounding Behavior for Connected Autonomous Mobile Robots based on Reinforcement Learning

Kazuhiro Ohkura, Toshiyuki Yasuda, Jumpei Kakehi, 2009 .

2A1-E04 System Tuning of NeuroEvolution of Augmented Topologies for an autonomous robot

Kazuhiro Ohkura, Shino Nishihara, Shinichi Takata, 2006 .

Application of grid task scheduling algorithm R3Q to evolutionary multi-robotics problem

Kazuhiro Ohkura, Yoshiyuki Matsumura, Noriyuki Fujimoto, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Autonomous task allocation by artificial evolution for robotic swarms in complex tasks

Kazuhiro Ohkura, Zlatan Car, Motoaki Hiraga, 2018, Artificial Life and Robotics.

Preservation and Utilization of Reinforcement Learning Robot's Strategies Using Probablistic Networks

Kazuhiro Ohkura, Toshiyuki Yasuda, 2007 .

Grid task scheduling algorithm R3Q for evolution strategies

Kazuhiro Ohkura, Yoshiyuki Matsumura, Kenichi Hagihara, 2007, 2007 IEEE Congress on Evolutionary Computation.

An Update Method of Computer Simulation for Evolutionary Robotics

Kazuhiro Ohkura, Yoshiaki Katada, K. Ohkura, 2006, IAS.

Evolutionary Acquisition of Autonomous Specialization in a Path-Formation Task of a Robotic Swarm

Kazuhiro Ohkura, Toshiyuki Yasuda, Motoaki Hiraga, 2018, J. Adv. Comput. Intell. Intell. Informatics.

Collective Behavior Acquisition of Real Robotic Swarms using Deep Reinforcement Learning

Kazuhiro Ohkura, Toshiyuki Yasuda, Masaki Abo, 2017 .

Developing End-to-End Control Policies for Robotic Swarms Using Deep Q-learning

Kazuhiro Ohkura, Zlatan Car, Motoaki Hiraga, 2019, J. Adv. Comput. Intell. Intell. Informatics.

2P1-G08 The analysis of the function differentiation process in a Reinforcement Learning Two Arm-Type Robots Cooperating with a Human Partner

Kazuhiro Ohkura, Toshiyuki Yasuda, Shuhei Sakimoto, 2010 .

Robust Evolution Strategies

Kazuhiro Ohkura, Yoshiyuki Matsumura, Kanji Ueda, 2004, Applied Intelligence.

Evolutionary Programming that Utilizes Genetic Drift

Kazuhiro Ohkura, Yoshiyuki Matsumura, Kanji Ueda, 2001 .

Grid Computing for Evolutionary Computation( New Development in Evolutionary Computation)

Kazuhiro Ohkura, Noriyuki Fujimoto, Yoshiyuki Matsumura, 2008 .

Consideration Regarding Reduction of the Reality Gap in Evolutionary Robotic Swarm

Kazuhiro Ohkura, Toshiyuki Yasuda, Motoaki Hiraga, 2016 .

1A1-E11 Generation of flocking behavior in autonomous mobile robots based on self-propelled particles model(Evolution and Learning for Robotics(1))

Kazuhiro Ohkura, Toshiyuki Yasuda, Toshiki Sasatani, 2012 .

Cooperative Behavior Acquisition of Autonomous Arm Robots through Reinforcement Learning

Kazuhiro Ohkura, Kazuaki Yamada, Kanji Ueda, 2003 .

Selected Papers from SCIS & ISIS 2010 – No.2

Kazuhiro Ohkura, Kiyotaka Izumi, Keigo Watanabe, 2011 .

An Ecological Analytic Approach to Evolutionary Multi-Agent Systems

Kazuhiro Ohkura, Masanori Goka, 2006 .

4102 A Parameter Tuning for Topology and Weight Evolving Artificial Neural Networks

Kazuhiro Ohkura, Jun'ichi Fukumori, 2005 .

2P1-S-069 A Study on Analysis of Feature of MAS using the Ecological Method(Evolution and Learning for Robotics 5,Mega-Integration in Robotics and Mechatronics to Assist Our Daily Lives)

Kazuhiro Ohkura, Masanori Goka, 2005 .

Selected Papers from SCIS & ISIS 2010 – No.1

Kazuhiro Ohkura, Kiyotaka Izumi, Keigo Watanabe, 2011 .

A self adaptive hybrid artificial bee colony algorithm for solving CEC 2013 real-parameter optimization problems

Kazuhiro Ohkura, Toshiyuki Yasuda, Hai Shan, 2013, Proceedings of the 2013 IEEE/SICE International Symposium on System Integration.

2A2-J06 Collective Behavior Acquisition of a Robotic Swarm Based on Incremental Evolution in a Cooperative Food Foraging Task(Swarm Robotics)

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2014 .

Generalization of the potential method for blending three surfaces

Kazuhiro Ohkura, Yukinori Kakazu, K. Ohkura, 1992, Comput. Aided Des..

MBEANN: Mutation-Based Evolving Artificial Neural Networks

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2007, ECAL.

Coordinating the Collective Behavior of Swarm Robotics Systems Based on Incremental Evolution

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

Behavior Acquisition of an Autonomous Robot by Reinforcement Learning Based on Globally Coupled Chaotic System. 2nd Report. Learning Navigational Behaviors in Dynamic Environment.

Kazuhiro Ohkura, Kanji Ueda, Yoichiro Nakamura, 1997 .

ANTS 2016 special issue: Editorial

Thomas Stützle, Kazuhiro Ohkura, Mauro Birattari, 2017, Swarm Intelligence.

Generating Collective Behavior of a Robotic Swarm in Patio Environments with Deep Neuroevolution

Kazuhiro Ohkura, Daichi Morimoto, Motoaki Hiraga, 2020 .

Modeling coevolutionary genetic algorithms on two-bit landscapes: partnering strategies

Kazuhiro Ohkura, Ming Chang, Kanji Ueda, 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

Implementation Method of Genetic Algorithms to the CUDA Environment using Data Parallelization

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2011 .

Group selection and its application to constrained evolutionary optimization

Kazuhiro Ohkura, Ming Chang, Kanji Ueda, 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

2P2-G09 Analyzing the Specialization Process of Arm-Type Robots that Perform Reinforcement Learning

Kazuhiro Ohkura, Toshiyuki Yasuda, Shuhei Sakimoto, 2008 .

Reinforcement learning based on a mechanism of selecting state space representations in multi-robot systems

Kazuhiro Ohkura, Toshiyuki Yasuda, Kazuaki Yamada, 2018 .

Cluster Analysis of Collective Behavior for a Robotic Swarm

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2012, IAS.

A Modeling of Biological-oriented Manufacturing Systems with Two Types of Populations

Kazuhiro Ohkura, Kanji Ueda, 1994 .

2P2-G07 Behavior acquisition of an autonomous mobile robot that passes through a narrow route

Kazuhiro Ohkura, Toshiyuki Yasuda, Reiichiro Imoto, 2008 .

IMPLEMENTING GENETIC ALGORITHMS TO CUDA ENVIRONMENT USING DATA PARALLELIZATION

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2011 .

The Analysis of Multi-Agent Systems using the Ecological Method

Kazuhiro Ohkura, Masanori Goka, 2007 .

2P1-G09 Incremental Behavior Acquisition using BRL in Multi-Robot Box-Pushing Tasks

Kazuhiro Ohkura, Toshiyuki Yasuda, Masanori Munechika, 2010 .

An Improved Hybrid Artificial Bee Colony Algorithm for Solving Real Parameter Optimization Problems

Kazuhiro Ohkura, Toshiyuki Yasuda, Hai Shan, 2015 .

Adaptive role development in a homogeneous connected robot group

Kazuhiro Ohkura, Kanji Ueda, K. Kawakami, 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

Improving the Robustness of Reinforcement Learning for a Multi-Robot System Environment

Kazuhiro Ohkura, Toshiyuki Yasuda, 2005, WSTST.

Extracting functional subgroups from an evolutionary robotic swarm by identifying the community structure

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2012, 2012 Fourth World Congress on Nature and Biologically Inspired Computing (NaBIC).

Collective Behavior Acquisition of Real Robotic Swarms Using Deep Reinforcement Learning

Kazuhiro Ohkura, Toshiyuki Yasuda, T. Yasuda, 2018, 2018 Second IEEE International Conference on Robotic Computing (IRC).

APPLICATION OF MULTI-AGENT TECHNOLOGY AND HETERARHICAL ARCHITECTURE FOR PRODUCTION SCHEDULING

Kazuhiro Ohkura, Zlatan Car, Branimir Barišić, 2009 .

2A2-F24 Application to the learning convergence index of the rule ignition entropy for meta learning in reinforcement learning ability of BRL

Kazuhiro Ohkura, Toshiyuki Yasuda, Kousuke Araki, 2010 .

Cooperative Behavior Acquisition of Multi-Robot Systems Based on Reinforcement Learning in Continuous Space

Kazuhiro Ohkura, Toshiyuki Yasuda, 2013 .

Behavioral specialization emerges from the embodiment of a robotic swarm

Kazuhiro Ohkura, Yasumasa Tamura, Motoaki Hiraga, 2020, Artificial Life and Robotics.

Behavior sequence analysis of incrementally evolving robotic swarms in a foraging task

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2013, Proceedings of the 2013 IEEE/SICE International Symposium on System Integration.

Control Architecture for Behavior Acquisition of Autonomous Robots. Reinforcement Learning Using Globally Coupled Chaotic System.

Kazuhiro Ohkura, Kanji Ueda, Yoichiro Nakamura, 1997 .

Modeling Coevolutionary Genetic Algorithms on Two-Bit Landscapes: Random Partnering

Kazuhiro Ohkura, Ming Chang, Kanji Ueda, 2004, GECCO.

Centralized Business-to-Business Networks in the Japanese Textile and Apparel Industry: Using Network Analysis and an Agent-Based Model

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2019, J. Robotics Mechatronics.

適応DEにおける確率的なパラメータ調整法とその評価;適応DEにおける確率的なパラメータ調整法とその評価;Introducing a Stochastic Parameter Control Method to an Adaptive Differential Evolution

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2015 .

Generating and analyzing hierarchical interaction in a flock of robotic swarms

Kazuhiro Ohkura, Toshiyuki Yasuda, 2018, Artificial Life and Robotics.

Preservation and Application of Acquired Knowledge Using Instance-based Reinforcement Learning

Kazuhiro Ohkura, Toshiyuki Yasuda, Junki Sakanoue, 2010 .

Coordinating Adaptive Behavior for Swarm Robotics Based on Topology and Weight Evolving Artificial Neural Networks

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2011 .

Solving Job-Shop Scheduling Problems Using a Genetic Algorithm with Neutral Mutations.

Kazuhiro Ohkura, Kanji Ueda, Tomokazu Gohtoh, 1997 .

Network Parameter Setting for Reinforcement Learning Approaches Using Neural Networks

Kazuhiro Ohkura, Kazuaki Yamada, 2012 .

Analyzing macroscopic behavior in a swarm robotic system based on clustering

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2011, SICE Annual Conference 2011.

Hybrid Optimization based on (\mu, \lambda)-Evolution Strategies and Particle Swarm Intelligence

Kazuhiro Ohkura, Yoshiyuki Matsumura, Shuang Cong, 2008 .

Effectiveness of Kaizen based on Informal Knowledge Management on the Improvement in Group Achievements

Kazuhiro Ohkura, Yoshiyuki Matsumura, 2008 .

Swarm Intelligence

Thomas Stützle, Kazuhiro Ohkura, Mauro Birattari, 2011, Lecture Notes in Computer Science.

1P1-S-066 Behavior Acquisition of a Multi-Robot System Based on Reinforcement Learning with a Function of Adaptive Segmentation of the Action Space(Evolution and Learning for Robotics 2,Mega-Integration in Robotics and Mechatronics to Assist Our Daily Lives)

Kazuhiro Ohkura, Toshiyuki Yasuda, Toshiharu Taura, 2005 .

The Cooperative Behavior Acquisition Problem by a Homogeneous Autonomous Robot Group-An Approach based on Specialization

Kazuhiro Ohkura, Kanji Ueda, Ken-ichiroh Kawakami, 2002 .

Community Extraction of Complex Networks in the Textile-Related Trade for Industries Pertaining to Dyeing and Finishing

Kazuhiro Ohkura, Toshiyuki Yasuda, Masayuki Takatera, 2013 .

Evaluation of Generation Alternation Models in Evolutionary Robotics

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2009, IWNC.

321 Generalization capability of TWEANN in cooperative package pushing problems

Kazuhiro Ohkura, Toshiyuki Yasuda, Tomoya Matsuda, 2009 .

An Extended Framework for Overcoming Premature Convergence

Kazuhiro Ohkura, Kanji Ueda, K. Ohkura, 1997, ICGA.

1A1-M12 Implementation Method of Steady-state GA on the CUDA Environment(Evolution and Learning for Robotics)

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2011 .

Coordinating the adaptive behavior for swarm robotic systems by using topology and weight evolving artificial neural networks

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2010, IEEE Congress on Evolutionary Computation.

Planning Stable Force Distribution for Grasping by Evolutionary Programming

Kazuhiro Ohkura, Yoshiyuki Matsumura, Mikhail Svinin, 2000 .

2P1-S-071 Recognition of a Moving Object by an Evolutionary Autonomous Mobile Robot with an On-line Model Update Mechanism(Evolution and Learning for Robotics 5,Mega-Integration in Robotics and Mechatronics to Assist Our Daily Lives)

Kazuhiro Ohkura, Yoshiaki Katada, Shino Nishihara, 2005 .

Analysis on Structures of Fitness Landscapes with Both Neutrality and Ruggedness Based on Neutral Networks

Kazuhiro Ohkura, Yoshiaki Katada, 2010 .

2A1-K08 Effects of Input-Output Configurations for Flocking Behavior of a Real Robotic Swarm

Kazuhiro Ohkura, Toshiyuki Yasuda, Shigehito Nakatani, 2015 .

1316 Evolutionary Acquisition a Frame of Reinforce Learning in Multi-agent System

Kazuhiro Ohkura, Hideaki Yajima, Kanji Ueda, 2000 .

Swarm Intelligence

Thomas Stützle, Kazuhiro Ohkura, Mauro Birattari, 2014, Lecture Notes in Computer Science.

A (μ, λ) evolutionary and particle swarm hybrid algorithm, with an application to dinosaur gait optimization

Todd C. Pataky, Kazuhiro Ohkura, Toshiyuki Yasuda, 2013, 2013 IEEE 6th International Workshop on Computational Intelligence and Applications (IWCIA).

Evolutionary Emergence of Path Formation with Autonomous Specialization in a Robotic Swarm

Kazuhiro Ohkura, Motoaki Hiraga, 2018 .

Biological Manufacturing Systems and Resrarch Topics for Realization

Kazuhiro Ohkura, Itsuo Hatono, Kanji Ueda, 2003 .

Swarm robot control by evolving artificial neural networks with small world topologies

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2008 .

Evolutionary programming with non-coding segments for real-valued function optimization

Kazuhiro Ohkura, Yoshiyuki Matsumura, Kanji Ueda, 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

Cooperative behavior acquisition mechanism for a multi-robot system based on reinforcement learning in continuous space

Kazuhiro Ohkura, Toshiyuki Yasuda, Toshiharu Taura, 2003, Proceedings 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation. Computational Intelligence in Robotics and Automation for the New Millennium (Cat. No.03EX694).

Instance-Based Reinforcement Learning Technique with a Meta-learning Mechanism for Robust Multi-Robot Systems

Kazuhiro Ohkura, Toshiyuki Yasuda, Motohiro Wada, 2011, TAROS.

Robust Evolution Strategies

Kazuhiro Ohkura, Yoshiyuki Matsumura, Kanji Ueda, 1998, Applied Intelligence.

2A1-M06 Verification Experiments for Improving the Incremental Learning Ability of BRL with Arm-Type Multi-Robot Systems

Kazuhiro Ohkura, Toshiyuki Yasuda, Junpei Kakehi, 2007 .

Cooperative Behavior Acquisition for a Multi-Robot System by Reinforcement Learning in Continuous Space

Kazuhiro Ohkura, Kanji Ueda, Toshiharu Taura, 2003 .

Analyzing the Relationship between the Cognition Ability of Robotic Swarm and Random Walk Generated by Probability Distribution

Kazuhiro Ohkura, Daichi Morimoto, Jun Uchida, 2019 .

Preservation and Application of Acquired Knowledge Using Instance-Based Reinforcement Learning for Multi-Robot Systems

Kazuhiro Ohkura, Toshiyuki Yasuda, Junki Sakanoue, 2011, J. Adv. Comput. Intell. Intell. Informatics.