default search action
Kazuhiro Ohkura
Person information
- affiliation: Hiroshima University, Japan
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
- [j39]Xiaotong Nie, Yupeng Liang, Ziyao Han, Kazuhiro Ohkura:
Generating collective wall-jumping behavior for a robotic swarm with self-teaching automatic curriculum learning. Artif. Life Robotics 28(1): 67-75 (2023) - [j38]Motoaki Hiraga
, Yoshiaki Katada, Kazuhiro Ohkura:
Echo state networks for embodied evolution in robotic swarms. Artif. Life Robotics 28(1): 139-147 (2023) - [j37]Xiaotong Nie, Yupeng Liang, Kazuhiro Ohkura:
Autonomous highway driving using reinforcement learning with safety check system based on time-to-collision. Artif. Life Robotics 28(1): 158-165 (2023) - [j36]Yoshiaki Katada, Kazuhiro Ohkura:
Swarm robots using Lévy walk with concession in targets exploration. Artif. Life Robotics 28(4): 652-660 (2023) - [j35]Daichi Morimoto
An evolutionary robotics approach to a multi-legged robotic swarm in a rough terrain environment. Artif. Life Robotics 28(4): 661-668 (2023) - [j34]Arumu Iwami, Daichi Morimoto
Generating collective behavior of a robotic swarm using an attention agent with deep neuroevolution. Artif. Life Robotics 28(4): 669-679 (2023) - [j33]Ziyao Han, Yupeng Liang, Kazuhiro Ohkura:
Developing multi-agent adversarial environment using reinforcement learning and imitation learning. Artif. Life Robotics 28(4): 703-709 (2023) - [j32]Daichi Morimoto
Generating Collective Behavior of a Multi-Legged Robotic Swarm Using Deep Reinforcement Learning. J. Robotics Mechatronics 35(4): 977-987 (2023) - [j31]Motoaki Hiraga
When Less Is More in Embodied Evolution: Robotic Swarms Have Better Evolvability with Constrained Communication. J. Robotics Mechatronics 35(4): 988-996 (2023) - [j30]Yoshiaki Katada
MBEANN for Robotic Swarm Controller Design and the Behavior Analysis for Cooperative Transport. J. Robotics Mechatronics 35(4): 997-1006 (2023) - 2022
- [j29]Boyin Jin, Yupeng Liang, Ziyao Han, Motoaki Hiraga
A hierarchical training method of generating collective foraging behavior for a robotic swarm. Artif. Life Robotics 27(1): 137-141 (2022) - [j28]Motoaki Hiraga
Topology and weight evolving artificial neural networks in cooperative transport by a robotic swarm. Artif. Life Robotics 27(2): 324-332 (2022) - [j27]Daichi Morimoto
Evolving collective step-climbing behavior in multi-legged robotic swarm. Artif. Life Robotics 27(2): 333-340 (2022) - [j26]Daichi Morimoto
Generating collective behavior of a multi-legged robotic swarm using an evolutionary robotics approach. Artif. Life Robotics 27(4): 751-760 (2022) - [j25]Yupeng Liang, Ziyao Han, Xiaotong Nie, Kazuhiro Ohkura:
Improving generative adversarial network with multiple generators by evolutionary algorithms. Artif. Life Robotics 27(4): 761-769 (2022) - [j24]Yoshiaki Katada
Swarm Crawler Robots Using Lévy Flight for Targets Exploration in Large Environments. Robotics 11(4): 76 (2022) - [c51]Daichi Morimoto
Generating and Analyzing Collective Step-Climbing Behavior in a Multi-legged Robotic Swarm. ANTS Conference 2022: 324-331 - 2021
- [j23]Motoaki Hiraga
Evolving collective cognition for object identification in foraging robotic swarms. Artif. Life Robotics 26(1): 21-28 (2021) - 2020
- [j22]Motoaki Hiraga
Behavioral specialization emerges from the embodiment of a robotic swarm. Artif. Life Robotics 25(4): 495-502 (2020) - [j21]Boyin Jin, Yupeng Liang, Ziyao Han, Kazuhiro Ohkura:
Generating collective foraging behavior for robotic swarm using deep reinforcement learning. Artif. Life Robotics 25(4): 588-595 (2020)
2010 – 2019
- 2019
- [j20]Yufei Wei, Motoaki Hiraga
Autonomous task allocation by artificial evolution for robotic swarms in complex tasks. Artif. Life Robotics 24(1): 127-134 (2019) - [j19]Yufei Wei, Xiaotong Nie, Motoaki Hiraga
Developing End-to-End Control Policies for Robotic Swarms Using Deep Q-learning. J. Adv. Comput. Intell. Intell. Informatics 23(5): 920-927 (2019) - [j18]Toshiyuki Yasuda, Kazuhiro Ohkura:
Sharing Experience for Behavior Generation of Real Swarm Robot Systems Using Deep Reinforcement Learning. J. Robotics Mechatronics 31(4): 520-525 (2019) - [j17]Motoaki Hiraga
Effects of Congestion on Swarm Performance and Autonomous Specialization in Robotic Swarms. J. Robotics Mechatronics 31(4): 526-534 (2019) - [j16]Yusaku Ogai, Yoshiyuki Matsumura, Yusuke Hoshino, Toshiyuki Yasuda, Kazuhiro Ohkura:
Centralized Business-to-Business Networks in the Japanese Textile and Apparel Industry: Using Network Analysis and an Agent-Based Model. J. Robotics Mechatronics 31(4): 546-557 (2019) - [c50]Motoaki Hiraga
Evolving Collective Cognition of Robotic Swarms in the Foraging Task with Poison. CEC 2019: 3205-3212 - [c49]Xiaotong Nie, Motoaki Hiraga
Visualizing Deep Q-Learning to Understanding Behavior of Swarm Robotic System. IES 2019: 118-129 - 2018
- [j15]Toshiyuki Yasuda
Generating and analyzing hierarchical interaction in a flock of robotic swarms. Artif. Life Robotics 23(4): 481-488 (2018) - [j14]Motoaki Hiraga
Evolving autonomous specialization in congested path formation task of robotic swarms. Artif. Life Robotics 23(4): 547-554 (2018) - [j13]Motoaki Hiraga
Evolutionary Acquisition of Autonomous Specialization in a Path-Formation Task of a Robotic Swarm. J. Adv. Comput. Intell. Intell. Informatics 22(5): 621-628 (2018) - [c48]Toshiyuki Yasuda, Kazuhiro Ohkura:
Collective Behavior Acquisition of Real Robotic Swarms Using Deep Reinforcement Learning. IRC 2018: 179-180 - [c47]Motoaki Hiraga, Kazuhiro Ohkura:
Evolutionary Emergence of Path Formation with Autonomous Specialization in a Robotic Swarm. ALIFE 2018: 526-527 - 2017
- [j12]Marco Dorigo
ANTS 2016 special issue: Editorial. Swarm Intell. 11(3-4): 181-183 (2017) - [c46]Yufei Wei, Toshiyuki Yasuda, Kazuhiro Ohkura:
Collective cognition: A case study of evolutionary swarm robotics in the collective foraging problem with poison. SII 2017: 865-686 - 2016
- [j11]Toshiyuki Yasuda
Adaptive role assignment for self-organized flocking of a real robotic swarm. Artif. Life Robotics 21(4): 405-410 (2016) - [c45]Yufei Wei, Toshiyuki Yasuda, Kazuhiro Ohkura:
Proceedings in Adaptation, Learning and Optimization. IES 2016: 469-481 - [e1]Marco Dorigo, Mauro Birattari, Xiaodong Li, Manuel López-Ibáñez, Kazuhiro Ohkura, Carlo Pinciroli, Thomas Stützle:
Swarm Intelligence - 10th International Conference, ANTS 2016, Brussels, Belgium, September 7-9, 2016, Proceedings. Lecture Notes in Computer Science 9882, Springer 2016, ISBN 978-3-319-44426-0 [contents] - 2015
- [j10]Hai Shan, Toshiyuki Yasuda
A self adaptive hybrid enhanced artificial bee colony algorithm for continuous optimization problems. Biosyst. 132-133: 43-53 (2015) - [c44]Zhiwen Wang, Toshiyuki Yasuda, Kazuhiro Ohkura:
An evolutionary approach to sudoku puzzles with filtered mutations. CEC 2015: 1732-1737 - 2014
- [c43]Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, Masaki Kadota:
GPU Implementation of Food-Foraging Problem for Evolutionary Swarm Robotics Systems. ANTS Conference 2014: 238-245 - [c42]Hai Shan, Toshiyuki Yasuda, Kazuhiro Ohkura:
A levy flight-based hybrid artificial bee colony algorithm for solving numerical optimization problems. IEEE Congress on Evolutionary Computation 2014: 2656-2663 - [c41]Toshiyuki Yasuda, Kazuhiro Ohkura, Tosei Nomura, Yoshiyuki Matsumura:
Evolutionary swarm robotics approach to a pursuit problem. RiiSS 2014: 129-134 - 2013
- [j9]Kazuhiro Ohkura, Toshiyuki Yasuda
Generating Cooperative Collective Behavior in Swarm Robotic Systems. J. Adv. Comput. Intell. Intell. Informatics 17(5): 699-706 (2013) - [j8]Tian Yu, Toshiyuki Yasuda
Cooperative Transport by a Swarm Robotic System Based on CMA-NeuroES Approach. J. Adv. Comput. Intell. Intell. Informatics 17(6): 932-942 (2013) - [c40]Yoshiyuki Matsumura, Ayumu Kobayashi, Kiyotaka Sugiyama, Todd C. Pataky, Toshiyuki Yasuda, Kazuhiro Ohkura, Bill Sellers:
A (μ, λ) evolutionary and particle swarm hybrid algorithm, with an application to dinosaur gait optimization. IWCIA 2013: 89-93 - [c39]Toshiyuki Yasuda, Nanami Wada, Kazuhiro Ohkura, Yoshiyuki Matsumura:
Analyzing collective behavior in evolutionary swarm robotic systems based on an ethological approach. ADPRL 2013: 148-155 - [c38]Hai Shan, Toshiyuki Yasuda, Kazuhiro Ohkura:
A self adaptive hybrid artificial bee colony algorithm for solving CEC 2013 real-parameter optimization problems. SII 2013: 706-711 - [c37]Toshiyuki Yasuda, Kazuhiro Ohkura, Nanami Wada, Yoshiyuki Matsumura:
Behavior sequence analysis of incrementally evolving robotic swarms in a foraging task. SII 2013: 790-795 - [c36]Yoshiyuki Matsumura, Kiyotaka Sugiyama, Toshiyuki Yasuda, Kazuhiro Ohkura:
(μ, λ) evolutionary and particle swarm hybrid algorithm over cloud computing, with an application to dinosaur gait optimization. SII 2013: 802-807 - [c35]Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura:
Coordinating the Collective Behavior of Swarm Robotics Systems Based on Incremental Evolution. SMC 2013: 4024-4029 - [c34]Toshiyuki Yasuda, Kazuhiro Ohkura, Kazuaki Yamada:
Multi-robot Cooperation Based on Continuous Reinforcement Learning with Two State Space Representations. SMC 2013: 4470-4475 - 2012
- [c33]Kazuhiro Ohkura, Toshiyuki Yasuda, Chikara Morishita, Yoshiyuki Matsumura:
Cluster Analysis of Collective Behavior for a Robotic Swarm. IAS (2) 2012: 883-891 - [c32]Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura:
Extracting functional subgroups from an evolutionary robotic swarm by identifying the community structure. NaBIC 2012: 112-117 - [c31]Takaaki Kadota, Toshiyuki Yasuda, Yoshiyuki Matsumura, Kazuhiro Ohkura:
An incremental approach to an evolutionary robotic swarm. SII 2012: 458-463 - 2011
- [j7]Toshiyuki Yasuda
Improving the Robustness of Instance-Based Reinforcement Learning Robots by Metalearning. J. Adv. Comput. Intell. Intell. Informatics 15(8): 1065-1072 (2011) - [j6]Junki Sakanoue, Toshiyuki Yasuda
Preservation and Application of Acquired Knowledge Using Instance-Based Reinforcement Learning for Multi-Robot Systems. J. Adv. Comput. Intell. Intell. Informatics 15(8): 1109-1115 (2011) - [c30]Masashi Oiso, Toshiyuki Yasuda, Kazuhiro Ohkura, Yoshiyuki Matsumura:
Accelerating steady-state genetic algorithms based on CUDA architecture. IEEE Congress on Evolutionary Computation 2011: 687-692 - [c29]Toshiyuki Yasuda
Instance-Based Reinforcement Learning Technique with a Meta-learning Mechanism for Robust Multi-Robot Systems. TAROS 2011: 161-172 - 2010
- [c28]Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura:
Coordinating the adaptive behavior for swarm robotic systems by using topology and weight evolving artificial neural networks. IEEE Congress on Evolutionary Computation 2010: 1-8
2000 – 2009
- 2009
- [c27]Yoshiaki Katada, Kazuhiro Ohkura:
Analysis on topologies of fitness landscapes with both neutrality and ruggedness based on neutral networks. GECCO 2009: 1855-1856 - [c26]Masashi Oiso, Yoshiyuki Matsumura, Toshiyuki Yasuda, Kazuhiro Ohkura:
Evaluation of Generation Alternation Models in Evolutionary Robotics. IWNC 2009: 268-275 - 2008
- [c25]Masashi Oiso, Yoshiyuki Matsumura, Kazuhiro Ohkura, Noriyuki Fujimoto, Yoshiki Matsuura:
Application of grid task scheduling algorithm R3Q to evolutionary multi-robotics problem. IEEE Congress on Evolutionary Computation 2008: 1520-1527 - [c24]Toshiyuki Yasuda, Kazuhiro Ohkura:
A Reinforcement Learning Technique with an Adaptive Action Generator for a Multi-robot System. SAB 2008: 250-259 - 2007
- [c23]Yoshiyuki Matsumura, Kazuhiro Ohkura, Yoshiki Matsuura, Masashi Oiso, Noriyuki Fujimoto, Kenichi Hagihara:
Grid task scheduling algorithm R3Q for evolution strategies. IEEE Congress on Evolutionary Computation 2007: 1756-1763 - [c22]Toshiyuki Yasuda, Kazuhiro Ohkura:
Improving Search Efficiency in the Action Space of an Instance-Based Reinforcement Learning Technique for Multi-robot Systems. ECAL 2007: 325-334 - [c21]Kazuhiro Ohkura, Toshiyuki Yasuda, Yuichi Kawamatsu, Yoshiyuki Matsumura, Kanji Ueda:
MBEANN: Mutation-Based Evolving Artificial Neural Networks. ECAL 2007: 936-945 - [c20]Yoshiyuki Matsumura, Masashi Oiso, Masaki Matsuda, Noriyuki Fujimoto, Kenichi Hagihara, Kazuhiro Ohkura, Jeremy L. Wyatt
Application of Grid Task Scheduling Algorithm RR to Medium-Grained Evolution Strategies. ICNC (4) 2007: 223-227 - 2006
- [j5]Toshiyuki Yasuda
A homogeneous mobile robot team that is fault-tolerant. Adv. Eng. Informatics 20(3): 301-311 (2006) - [c19]Yoshiaki Katada, Kazuhiro Ohkura:
Estimating the Degree of Neutrality in Fitness Landscapes by the Nei's Standard Genetic Distance - An Application to Evolutionary Robotics -. IEEE Congress on Evolutionary Computation 2006: 483-490 - [c18]Yoshiaki Katada, Kazuhiro Ohkura:
An Update Method of Computer Simulation for Evolutionary Robotics. IAS 2006: 357-364 - 2005
- [j4]Toshiyuki Yasuda, Kazuhiro Ohkura:
Autonomous Role Assignment in a Homogeneous Multi-Robot System. J. Robotics Mechatronics 17(5): 596-604 (2005) - [c17]Toshiyuki Yasuda, Kazuhiro Ohkura:
Improving the Robustness of Reinforcement Learning for a Multi-Robot System Environment. WSTST 2005: 263-272 - 2004
- [c16]Yoshiaki Katada, Kazuhiro Ohkura, Kanji Ueda:
The Nei's standard genetic distance in artificial evolution. IEEE Congress on Evolutionary Computation 2004: 1233-1239 - [c15]Ming Chang, Kazuhiro Ohkura, Kanji Ueda, Masaharu Sugiyama:
Modeling coevolutionary genetic algorithms on two-bit landscapes: partnering strategies. IEEE Congress on Evolutionary Computation 2004: 2349-2356 - [c14]Ming Chang, Kazuhiro Ohkura, Kanji Ueda, Masaharu Sugiyama:
Modeling Coevolutionary Genetic Algorithms on Two-Bit Landscapes: Random Partnering. GECCO (1) 2004: 513-524 - [c13]Yoshiaki Katada, Kazuhiro Ohkura, Kanji Ueda:
An Approach to Evolutionary Robotics Using a Genetic Algorithm with a Variable Mutation Rate Strategy. PPSN 2004: 952-961 - 2003
- [c12]Ming Chang, Kazuhiro Ohkura, Kanji Ueda, Masaharu Sugiyama:
Group selection and its application to constrained evolutionary optimization. IEEE Congress on Evolutionary Computation 2003: 684-691 - [c11]Yoshiaki Katada, Kazuhiro Ohkura, Kanji Ueda:
Artificial evolution of pulsed neural networks on the motion pattern classification system. CIRA 2003: 318-323 - [c10]Toshiyuki Yasuda, Kazuhiro Ohkura, Toshiharu Taura:
Cooperative behavior acquisition mechanism for a multi-robot system based on reinforcement learning in continuous space. CIRA 2003: 1539-1544 - 2002
- [c9]Ming Chang, Kazuhiro Ohkura, Kanji Ueda, Masaharu Sugiyama:
A symbiotic evolutionary algorithm for dynamic facility layout problem. IEEE Congress on Evolutionary Computation 2002: 1745-1750 - [c8]Yoshiyuki Matsumura, Kazuhiro Ohkura, Kanji Ueda:
Advantages of global discrete recombination in (μ/μ, λ)-evolution strategies. IEEE Congress on Evolutionary Computation 2002: 1848-1853 - 2001
- [j3]Kazuhiro Ohkura, Yoshiyuki Matsumura, Kanji Ueda:
Robust Evolution Strategies. Appl. Intell. 15(3): 153-169 (2001) - [j2]Yoshiaki Katada, Mikhail M. Svinin, Kazuhiro Ohkura, Kanji Ueda:
Stable grasp planning by evolutionary programming. IEEE Trans. Ind. Electron. 48(4): 749-756 (2001) - [c7]Yoshiyuki Matsumura, Kazuhiro Ohkura, Kanji Ueda:
Evolutionary dynamics of evolutionary programming in noisy environment. CEC 2001: 17-24 - [c6]Ming Chang, Kazuhiro Ohkura, Kang Ueda:
Some experimental observations of (μ/μ, λ)-evolution strategies. CEC 2001: 663-670 - [c5]Kazuhiro Ohkura, Takashi Igarashi, Kanji Ueda, Shin'ichiro Okauchi, Hisashi Matsunaga:
A genetic algorithm approach to large scale combinatorial optimization problems in the advertising industry. ETFA (2) 2001: 351-357 - 2000
- [c4]Yoshiyuki Matsumura, Kazuhiro Ohkura, Kanji Ueda:
Statistical Characteristics of Evolution Strategies. PPSN 2000: 119-128
1990 – 1999
- 1998
- [c3]Kazuhiro Ohkura, Yoshiyuki Matsumura, Kanji Ueda:
Robust Evolution Strategies. SEAL 1998: 10-17 - 1997
- [c2]Kazuhiro Ohkura, Kanji Ueda:
An Extended Genetic Algorithm based on the Neutral Theory. BCEC 1997: 56-65 - [c1]Kazuhiro Ohkura, Kanji Ueda:
An Extended Framework for Overcoming Premature Convergence. ICGA 1997: 260-267 - 1992
- [j1]Kazuhiro Ohkura, Yukinori Kakazu:
Generalization of the potential method for blending three surfaces. Comput. Aided Des. 24(11): 599-610 (1992)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:16 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: