K. Ohkura

发表

Extended pso with partial randomization for large scale multimodal problems

T. Yasuda, Y. Matsumura, K. Ohkura, 2010, 2010 World Automation Congress.

Robust Evolution Strategies

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

Multiple-vector self-adaptation in evolutionary algorithms.

D. Fogel, G. Fogel, K. Ohkura, 2001, Bio Systems.

An Extended Framework for Overcoming Premature Convergence

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

A Genetic Algorithm for Nonstationary Function Optimization Problems

K. Ohkura, K. Ueda, 1995 .

MULTI-RECOMBINANT EVOLUTION STRATEGIES FOR REAL-VALUED FUNCTION OPTIMIZATION

Y. Matsumura, K. Ohkura, K. Ueda, 2007 .

Advantages of global discrete recombination in (/spl mu///spl mu/,/spl lambda/,)-evolution strategies

Y. Matsumura, K. Ohkura, K. Ueda, 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

The Effect of Multi-Parent Recombination on Evolution Strategies

Y. Matsumura, K. Ohkura, K. Ueda, 2001 .

Evolutionary dynamics of evolutionary programming in noisy environment

Y. Matsumura, K. Ohkura, K. Ueda, 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

Measuring Neutrality of Fitness Landscapes Based on the Nei ’ s Standard Genetic Distance

K. Ohkura, K. Ueda, Y. Katada, 2003 .

Tuning Genetic Algorithms for Problems Including Neutral Networks-The Simplest Case : The Balance Beam Function -

K. Ohkura, K. Ueda, Y. Katada, 2003 .

The Balance Beam Function: A New Test Function for the Real World Problems

K. Ohkura, K. Ueda, Y. Yasuda, 2001 .

Tuning Genetic Algorithms for Problems Including Neutral Networks-A More Complex Case : The Terraced NK Problem -

K. Ohkura, K. Ueda, Y. Katada, 2003 .

Autonomous Task Allocation for Swarm Robotic Systems Using Behavioral Decomposition

T. Yasuda, K. Ohkura, Yufei Wei, 2017 .

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

Kazuhiro Ohkura, Toshiyuki Yasuda, Soichiro Nomura, 2012 .

Coevolution and Symbiosis in Metapopulation Models

K. Ohkura, K. Ueda, Ming Chang, 2001 .

Improving generative adversarial network with multiple generators by evolutionary algorithms

K. Ohkura, Ziyao Han, Yupeng Liang, 2022, Artificial Life and Robotics.

Echo state networks for embodied evolution in robotic swarms

K. Ohkura, Y. Katada, Motoaki Hiraga, 2022, Artificial Life and Robotics.

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.

A homogeneous mobile robot team that is fault-tolerant

Kazuhiro Ohkura, Toshiyuki Yasuda, Kanji Ueda, 2006, Adv. Eng. Informatics.

Autonomous Role Assignment in a Homogeneous Multi-Robot System

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

Robust Swarm Robotics System Using CMA-NeuroES with Incremental Evolution

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2015 .

Swarm Intelligence

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

Evolutionary Dynamics Analysis of GAs for Problems with Neutrality by the Nei's Standard Genetic Distance

K. Ohkura, Y. Katada, 2006 .

Evolutionary dynamics of genetic algorithm in the fitness landscape including neutral Networks.

K. Ohkura, K. Ueda, Y. Katada, 2004 .

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

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

Reinforcement learning approach to cooperation problem in a homogeneous robot group

Kanji Ueda, K. Kawakami, K. Ohkura, 2001, ISIE 2001. 2001 IEEE International Symposium on Industrial Electronics Proceedings (Cat. No.01TH8570).

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

K. Ohkura, Z. Car, Yufei Wei, 2018, Artificial Life and Robotics.

A Genetic Algorithm with Neutral Mutations for Deceptive Function Optimization

Kazuhiro Ohkura, Kanji Ueda, K. Ohkura, 1996 .

Topology and weight evolving artificial neural networks in cooperative transport by a robotic swarm

K. Ohkura, Motoaki Hiraga, 2021, Artificial Life and Robotics.

Generalization of the potential method for blending three surfaces

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

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

Kazuhiro Ohkura, Yoshiyuki Matsumura, Masanori Goka, 2010 .

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).

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.

Analyzing collective behavior in evolutionary swarm robotic systems based on an ethological approach

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2013, 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).

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

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2012 .

Evaluation of Generation Alternation Models in Evolutionary Robotics

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

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..

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

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

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).

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.

Accelerating steady-state genetic algorithms based on CUDA architecture

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

Autonomous highway driving using reinforcement learning with safety check system based on time-to-collision

K. Ohkura, Yupeng Liang, Xiaotong Nie, 2022, Artificial Life and Robotics.

A symbiotic evolutionary algorithm for dynamic facility layout problem

K. Ohkura, Ming Chang, K. Ueda, 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

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).

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.

IMPLEMENTING GENETIC ALGORITHMS TO CUDA ENVIRONMENT USING DATA PARALLELIZATION

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2011 .

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

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2011 .

Two Classifier Systems for Reinforcement Learning of Motion Patterns

Kazuhiro Ohkura, Kanji Ueda, Kazuaki Yamada, 2001 .

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

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

Modelling of Biological Manufacturing Systems for Dynamic Reconfiguration

Kazuhiro Ohkura, Kanji Ueda, Jari Vaario, 1997 .

A two-step selection scheme for constrained evolutionary optimization

K. Ueda, K. Ohkura, M. Sugiyama, 2003, International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003.

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.

Sharing Experience for Behavior Generation of Real Swarm Robot Systems Using Deep Reinforcement Learning

Kazuhiro Ohkura, Toshiyuki Yasuda, T. Yasuda, 2019, J. Robotics Mechatronics.

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.

Self-organized flocking of a mobile robot swarm by topological distance-based interactions

Kazuhiro Ohkura, Toshiyuki Yasuda, Akitoshi Adachi, 2014, 2014 IEEE/SICE International Symposium on System Integration.

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

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

Swarm Crawler Robots Using Lévy Flight for Targets Exploration in Large Environments

K. Ohkura, Y. Katada, Kaito Yamashita, 2022, Robotics.

Robust reinforcement learning technique with bigeminal representation of continuous state space for multi-robot systems

T. Yasuda, K. Ohkura, K. Kage, 2012, 2012 Proceedings of SICE Annual Conference (SICE).

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.

Cooperative Behavior Acquisition of Autonomous Arm Robots through Reinforcement Learning

Kazuhiro Ohkura, Kazuaki Yamada, Kanji Ueda, 2003 .

An Extended SHADE and Its Evaluations

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2015 .

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

Kazuhiro Ohkura, Toshiyuki Yasuda, Kazuaki Yamada, 2018 .

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

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

MBEANN for Robotic Swarm Controller Design and the Behavior Analysis for Cooperative Transport

K. Ohkura, Y. Katada, Motoaki Hiraga, 2023, J. Robotics Mechatronics.

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.

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).

Evolution Strategies with Multi-parent Recombination

Y. Matsumura, K. Ohkura, K. 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.

Statistical Characteristics of Evolution Strategies

Y. Matsumura, K. Ohkura, K. Ueda, 2000, PPSN.

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

Kazuhiro Ohkura, Yoshiyuki Matsumura, Kanji Ueda, 1999 .

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).

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

Kazuhiro Ohkura, Yoshiyuki Matsumura, Kanji Ueda, 2003 .

Optimization of Stable Grasps by Evolutionary Programming

K. Ohkura, M. Svinin, K. Ueda, 2001 .

Behavioral specialization emerges from the embodiment of a robotic swarm

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

Evolving collective cognition for object identification in foraging robotic swarms

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

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).

Evolving autonomous specialization in congested path formation task of robotic swarms

T. Yasuda, K. Ohkura, Yufei Wei, 2018, Artificial Life and Robotics.

An Update Method of Computer Simulation for Evolutionary Robotics

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

Evolving collective cognition for object identification in foraging robotic swarms

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

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

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

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.

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

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

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).

Generating collective behavior of a multi-legged robotic swarm using an evolutionary robotics approach

K. Ohkura, D. Morimoto, M. Munetomo, 2022, Artificial Life and Robotics.

Evolving collective step-climbing behavior in multi-legged robotic swarm

K. Ohkura, M. Munetomo, Motoaki Hiraga, 2022, 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).

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).

Evolving robot controllers for a homogeneous robotic swarm

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

Analyzing macroscopic behavior in a swarm robotic system based on clustering

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

Cluster Analysis of Collective Behavior for a Robotic Swarm

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

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

Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, 2012 .

Generating Collective Behavior of a Multi-Legged Robotic Swarm Using Deep Reinforcement Learning

K. Ohkura, Motoaki Hiraga, Daichi Morimoto, 2023, J. Robotics Mechatronics.