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ORCIDShigenobu Kobayashi
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2010 – 2019
- 2013
[j17]Yuichi Nagata, Shigenobu Kobayashi:
A Powerful Genetic Algorithm Using Edge Assembly Crossover for the Traveling Salesman Problem. INFORMS J. Comput. 25(2): 346-363 (2013)- 2012
- [j16]Youhei Akimoto
, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi:
Theoretical Foundation for CMA-ES from Information Geometry Perspective. Algorithmica 64(4): 698-716 (2012) - [i1]Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi:
Theoretical foundation for CMA-ES from information geometric perspective. CoRR abs/1206.0730 (2012) - 2011
- [c66]Nobusumi Fukushima, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono:
Proposal of distance-weighted exponential natural evolution strategies. IEEE Congress on Evolutionary Computation 2011: 164-171 - [c65]Naoki Hamada, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono:
On scalability of Adaptive Weighted Aggregation for multiobjective function optimization. IEEE Congress on Evolutionary Computation 2011: 669-678 - [c64]Kento Uemura, Shun-ichi Kinoshita, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono:
A new framework taking account of multi-funnel functions for Real-coded Genetic Algorithms. IEEE Congress on Evolutionary Computation 2011: 2091-2098 - [c63]Naoki Hamada, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono:
Adaptive Weighted Aggregation 2: More scalable AWA for multiobjective function optimization. IEEE Congress on Evolutionary Computation 2011: 2375-2382 - 2010
- [j15]Akimoto Kamiya, Kazuya Abiko, Shigenobu Kobayashi:
Discussions of worker ants' rule-based CHC dealing with changing environments. Appl. Soft Comput. 10(1): 245-250 (2010) - [j14]Jun Sakuma, Shigenobu Kobayashi:
Large-scale k-means clustering with user-centric privacy-preservation. Knowl. Inf. Syst. 25(2): 253-279 (2010) - [c62]Naoki Hamada, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono:
Adaptive weighted aggregation: A multiobjective function optimization framework taking account of spread and evenness of approximate solutions. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c61]Naoya Karatsu, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi:
Globally multimodal function optimization by Real-Coded Genetic Algorithms using traps. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c60]Yuichi Nagata, Shigenobu Kobayashi:
Guided Ejection Search for the Pickup and Delivery Problem with Time Windows. EvoCOP 2010: 202-213 - [c59]Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi:
Theoretical analysis of evolutionary computation on continuously differentiable functions. GECCO 2010: 1401-1408 - [c58]Atsushi Miyamae, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi:
Natural Policy Gradient Methods with Parameter-based Exploration for Control Tasks. NIPS 2010: 1660-1668 - [c57]Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi:
Bidirectional Relation between CMA Evolution Strategies and Natural Evolution Strategies. PPSN (1) 2010: 154-163 - [c56]Yuichi Nagata, Shigenobu Kobayashi:
A Memetic Algorithm for the Pickup and Delivery Problem with Time Windows Using Selective Route Exchange Crossover. PPSN (1) 2010: 536-545
2000 – 2009
- 2009
- [j13]Kazuteru Miyazaki, Shigenobu Kobayashi:
Exploitation-Oriented Learning PS-r#. J. Adv. Comput. Intell. Intell. Informatics 13(6): 624-630 (2009) - [c55]Dan Oshima, Atsushi Miyamae, Jun Sakuma, Shigenobu Kobayashi, Isao Ono:
A new real-coded genetic algorithm using the adaptive selection network for detecting multiple optima. IEEE Congress on Evolutionary Computation 2009: 1912-1919 - [c54]Youhei Akimoto, Jun Sakuma, Isao Ono, Shigenobu Kobayashi:
Adaptation of expansion rate for real-coded crossovers. GECCO 2009: 739-746 - [c53]Jun Sakuma, Shigenobu Kobayashi:
Link analysis for private weighted graphs. SIGIR 2009: 235-242 - 2008
- [c52]Youhei Akimoto, Jun Sakuma, Isao Ono, Shigenobu Kobayashi:
Functionally specialized CMA-ES: a modification of CMA-ES based on the specialization of the functions of covariance matrix adaptation and step size adaptation. GECCO 2008: 479-486 - [c51]Jun Sakuma, Shigenobu Kobayashi, Rebecca N. Wright:
Privacy-preserving reinforcement learning. ICML 2008: 864-871 - [c50]Kazuteru Miyazaki, Shigenobu Kobayashi:
Proposal of Exploitation-Oriented Learning PS-r#. IDEAL 2008: 1-8 - [c49]Jun Sakuma, Shigenobu Kobayashi:
Large-Scale k-Means Clustering with User-Centric Privacy Preservation. PAKDD 2008: 320-332 - [c48]Naoki Hamada, Jun Sakuma, Shigenobu Kobayashi, Isao Ono:
Functional-Specialization Multi-Objective Real-Coded Genetic Algorithm: FS-MOGA. PPSN 2008: 691-701 - 2007
- [j12]Kazuteru Miyazaki, Shigenobu Kobayashi:
Reinforcement Learning for Penalty Avoidance in Continuous State Spaces. J. Adv. Comput. Intell. Intell. Informatics 11(6): 668-676 (2007) - [c47]Ken Harada, Jun Sakuma, Isao Ono, Shigenobu Kobayashi:
Constraint-Handling Method for Multi-objective Function Optimization: Pareto Descent Repair Operator. EMO 2007: 156-170 - [c46]Ken Harada, Jun Sakuma, Shigenobu Kobayashi, Isao Ono:
Uniform sampling of local pareto-optimal solution curves by pareto path following and its applications in multi-objective GA. GECCO 2007: 813-820 - [c45]Jun Sakuma, Shigenobu Kobayashi:
A genetic algorithm for privacy preserving combinatorial optimization. GECCO 2007: 1372-1379 - 2006
- [c44]Chikao Tsuchiya, Kokolo Ikeda, Jun Sakuma, Isao Ono, Shigenobu Kobayashi:
Instance-Based Policy Search using Binomial Distribution Crossover and Iterated Refreshment. IEEE Congress on Evolutionary Computation 2006: 378-385 - [c43]Ken Harada, Jun Sakuma, Shigenobu Kobayashi:
Local search for multiobjective function optimization: pareto descent method. GECCO 2006: 659-666 - [c42]Ken Harada, Kokolo Ikeda, Shigenobu Kobayashi:
Hybridization of genetic algorithm and local search in multiobjective function optimization: recommendation of GA then LS. GECCO 2006: 667-674 - [c41]Hiroshi Takeichi, Isao Ono, Jun Sakuma, Shigenobu Kobayashi:
An Evolutionary Algorithm for Optimizing Functions with UV Structures. SMC 2006: 1296-1303 - 2005
- [j11]Akimoto Kamiya, Seppo J. Ovaska, Rajkumar Roy, Shigenobu Kobayashi:
Fusion of soft computing and hard computing for large-scale plants: a general model. Appl. Soft Comput. 5(3): 265-279 (2005) - [c40]Shin Ando, Einoshin Suzuki, Shigenobu Kobayashi:
Sample based crowding method for multimodal optimization in continuous domain. Congress on Evolutionary Computation 2005: 1867-1874 - [c39]Jun Sakuma, Shigenobu Kobayashi:
Real-coded crossover as a role of kernel density estimation. GECCO 2005: 703-710 - [c38]Jun Sakuma, Shigenobu Kobayashi:
Latent variable crossover for k-tablet structures and its application to lens design problems. GECCO 2005: 1347-1354 - [c37]Shin Ando, Jun Sakuma, Shigenobu Kobayashi:
Adaptive isolation model using data clustering for multimodal function optimization. GECCO 2005: 1417-1424 - [c36]Shin Ando, Shigenobu Kobayashi:
Fitness-based neighbor selection for multimodal function optimization. GECCO 2005: 1573-1574 - [c35]Chikao Tsuchiya, Jun Sakuma, Isao Ono, Shigenobu Kobayashi:
An Effective Rule Based Policy Representation and its Optimization using Inter Normal Distribution Crossover. WSTST 2005: 400-411 - 2004
- [j10]Kazuteru Miyazaki, Sougo Tsuboi, Shigenobu Kobayashi:
Development of a reinforcement learning system to play Othello. Artif. Life Robotics 7(4): 177-181 (2004) - [j9]Nobue Adachi, Makihiko Sato, Shigenobu Kobayashi:
Application of genetic algorithm to flight schedule planning. Syst. Comput. Jpn. 35(12): 83-92 (2004) - [c34]Osamu Takahashi, Shigenobu Kobayashi:
An angular distance dependent alternation model for real-coded genetic algorithms. IEEE Congress on Evolutionary Computation 2004: 2159-2165 - 2003
- [j8]Minoru Kikuchi, Hajime Kimura, Shigenobu Kobayashi:
Moving target detection from infrared images using genetic algorithms. Syst. Comput. Jpn. 34(7): 76-86 (2003) - [c33]Kokolo Ikeda, Akihiro Nagaiwa, Kei Aoki, Shigenobu Kobayashi:
Independent constraint satisfaction and its application to sewerage system control. IEEE Congress on Evolutionary Computation 2003: 566-573 - [c32]Akimoto Kamiya, Kazue Shimada, Masakazu Kato, Shigenobu Kobayashi:
Fusion of soft computing and hard computing techniques for power energy system. CIRA 2003: 603-608 - [c31]Akimoto Kamiya, Rajkumar Roy, Seppo J. Ovaska, Shigenobu Kobayashi:
Fusion of soft computing and hard computing for large-scale plants: an overview. SMC 2003: 1441-1448 - 2002
- [j7]Akimoto Kamiya, Kensuke Kawai, Isao Ono, Shigenobu Kobayashi:
Theoretical proof of edge search strategy applied to power plant start-up scheduling. IEEE Trans. Syst. Man Cybern. Part B 32(3): 316-331 (2002) - [c30]Jun Sakuma, Shigenobu Kobayashi:
k-tablet Structures and Crossover on Latent Variables for Real-Coded GA. GECCO Late Breaking Papers 2002: 404-411 - [c29]Kokolo Ikeda, Shigenobu Kobayashi:
Deterministic Multi-step Crossover Fusion: A Handy Crossover Composition for GAs. PPSN 2002: 162-171 - 2001
- [j6]Kazuteru Miyazaki, Shigenobu Kobayashi:
Rationality of Reward Sharing in Multi-agent Reinforcement Learning. New Gener. Comput. 19(2): 157-172 (2001) - [c28]Hajime Kimura, Toru Yamashita, Shigenobu Kobayashi:
Reinforcement learning of walking behavior for a four-legged robot. CDC 2001: 411-416 - [c27]Jun Sakuma, Shigenobu Kobayashi:
Extrapolation-directed crossover for real-coded GA: overcoming deceptive phenomena by extrapolative search. CEC 2001: 655-662 - [c26]Kokolo Ikeda, Hajime Kita, Shigenobu Kobayashi:
Failure of Pareto-based MOEAs: does non-dominated really mean near to optimal? CEC 2001: 957-962 - [c25]Makoto Sato, Shigenobu Kobayashi:
Average-Reward Reinforcement Learning for Variance Penalized Markov Decision Problems. ICML 2001: 473-480 - [c24]Osamu Takahashi, Shigenobu Kobayashi:
An adaptive neighboring search using crossover-like mutation for multi modal function optimization. SMC 2001: 261-267 - 2000
- [c23]Osamu Takahashi, Hajime Kita, Shigenobu Kobayashi:
A Real-Coded Genetic Algorithm using Distance Dependent Alternation Model for Complex Function Optimization. GECCO 2000: 219-226 - [c22]Jun Sakuma, Shigenobu Kobayashi:
Extrapolation-Directed Crossover for Job-shop Scheduling Problems: Complementary Combination with JOX. GECCO 2000: 973-980 - [c21]Susumu Katayama, Hajime Kimura, Shigenobu Kobayashi:
A Universal Generalization for Temporal-Difference Learning Using Haar Basis Functions. ICML 2000: 447-454 - [c20]Makoto Sato, Shigenobu Kobayashi:
Variance-Penalized Reinforcement Learning for Risk-Averse Asset Allocation. IDEAL 2000: 244-249 - [c19]Kokolo Ikeda, Shigenobu Kobayashi:
GA Based on the UV-Structure Hypothesis and Its Application to JSP. PPSN 2000: 273-282 - [c18]Kazuteru Miyazaki, Shigenobu Kobayashi:
Reinforcement learning for penalty avoiding policy making. SMC 2000: 206-211
1990 – 1999
- 1999
- [j5]Akimoto Kamiya, Kensuke Kawai, Isao Ono, Shigenobu Kobayashi:
Adaptive-edge search for power plant start-up scheduling. IEEE Trans. Syst. Man Cybern. Part C 29(4): 518-530 (1999) - [c17]Hajime Kita, Isao Ono, Shigenobu Kobayashi:
Multi-parental extension of the unimodal normal distribution crossover for real-coded genetic algorithms. CEC 1999: 1581-1588 - [c16]Hajime Kimura, Shigenobu Kobayashi:
Efficient Non-Linear Control by Combining Q-learning with Local Linear Controllers. ICML 1999: 210-219 - [c15]Sachiyo Arai, Kazuteru Miyazaki, Shigenobu Kobayashi:
Multi-agent Reinforcement Learning for Crane Control Problem: Designing Rewards for Conflict Resolution. ISADS 1999: 310-319 - [c14]Kazuteru Miyazaki, Shigenobu Kobayashi:
Rationality of Reward Sharing in Multi-agent Reinforcement Learning. PRIMA 1999: 111-125 - 1998
- [j4]Akimoto Kamiya, Hajime Kimura, Masayuki Yamamura, Shigenobu Kobayashi:
Power plant start-up scheduling: a reinforcement learning approach combined with evolutionary computation. J. Intell. Fuzzy Syst. 6(1): 99-115 (1998) - [c13]Hajime Kimura, Shigenobu Kobayashi:
An Analysis of Actor/Critic Algorithms Using Eligibility Traces: Reinforcement Learning with Imperfect Value Function. ICML 1998: 278-286 - 1997
- [j3]Kazuteru Miyazaki, Masayuki Yamamura, Shigenobu Kobayashi:
k-Certainty Exploration Method: An Action Selector to Identify the Environment in Reinforcement Learning. Artif. Intell. 91(1): 155-171 (1997) - [c12]Keiko Takahashi, Isao Ono, Hiroshi Satoh, Shigenobu Kobayashi:
An Efficient Genetic Algorithm for Reachability Problems. HICSS (5) 1997: 89-98 - [c11]Isao Ono, Shigenobu Kobayashi:
A Real Coded Genetic Algorithm for Function Optimization Using Unimodal Normal Distributed Crossover. ICGA 1997: 246-253 - [c10]Yuichi Nagata, Shigenobu Kobayashi:
Edge Assembly Crossover: A High-Power Genetic Algorithm for the Travelling Salesman Problem. ICGA 1997: 450-457 - [c9]Hajime Kimura, Kazuteru Miyazaki, Shigenobu Kobayashi:
Reinforcement Learning in POMDPs with Function Approximation. ICML 1997: 152-160 - 1996
- [c8]Hisashi Tamaki, Hajime Kita, Shigenobu Kobayashi:
Multi-Objective Optimization by Genetic Algorithms: A Review. International Conference on Evolutionary Computation 1996: 517-522 - [c7]Masayuki Yamamura, Isao Ono, Shigenobu Kobayashi:
Emergent Search on Double Circle TSPs Using Subgour Exchange Crossover. International Conference on Evolutionary Computation 1996: 535-540 - [c6]Isao Ono, Masayuki Yamamura, Shigenobu Kobayashi:
A Genetic Algorithm for Job-Shop Scheduling Problems Using Job-Based Order Crossover. International Conference on Evolutionary Computation 1996: 547-552 - 1995
- [c5]Shigenobu Kobayashi, Isao Ono, Masayuki Yamamura:
An Efficient Genetic Algorithm for Job Shop Scheduling Problems. ICGA 1995: 506-511 - [c4]Hajime Kimura, Masayuki Yamamura, Shigenobu Kobayashi:
Reinforcement Learning by Stochastic Hill Climbing on Discounted Reward. ICML 1995: 295-303 - 1994
- [c3]Masayuki Yamamura, Hiroshi Satoh, Shigenobu Kobayashi:
An Analysis of Crossover's Effect in Genetic Algorithms. International Conference on Evolutionary Computation 1994: 613-618 - 1993
- [e1]Klaus P. Jantke, Shigenobu Kobayashi, Etsuji Tomita, Takashi Yokomori:
Algorithmic Learning Theory, 4th International Workshop, ALT '93, Tokyo, Japan, November 8-10, 1993, Proceedings. Lecture Notes in Computer Science 744, Springer 1993, ISBN 3-540-57370-4 [contents] - 1991
- [j2]Shigenobu Kobayashi, Kotaro Nakamura:
Knowledge Compilation and Refinement for Fault Diagnosis. IEEE Expert 6(5): 39-46 (1991) - [c2]Toshihiko Yokogawa, Takefumi Sakurai, Akira Nukuzuma, Tomohiro Takagi, Shigenobu Kobayashi:
Case-Based Reasoning for Action Planning by Representing Situations at the Abstract Layers. Fuzzy Logic and Fuzzy Control 1991: 109-122 - [c1]Masayuki Yamamura, Shigenobu Kobayashi:
An Augmented EBL and its Application to the Utility Problem. IJCAI 1991: 623-629
1980 – 1989
- 1983
- [j1]Vilas Wuwongse, Shigenobu Kobayashi, Atsunobu Ichikawa:
An interactive system for supporting multiobjective decision making. Autom. 19(6): 697-702 (1983)
Coauthor Index
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