Shigenobu Kobayashi

85 papers A* 9A 16B 22C 4Journal 18Unranked 16

Year	Rank	Type	Title / Venue / Authors
2013	J	`jnl`	A Powerful Genetic Algorithm Using Edge Assembly Crossover for the Traveling Salesman Problem. INFORMS J. Comput. Yuichi Nagata, Shigenobu Kobayashi
2012	J	`jnl`	Theoretical Foundation for CMA-ES from Information Geometry Perspective. Algorithmica Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi
2012	J	`jnl`	Theoretical foundation for CMA-ES from information geometric perspective CoRR Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi
2011	B	`conf`	A new framework taking account of multi-funnel functions for Real-coded Genetic Algorithms. IEEE Congress on Evolutionary Computation Kento Uemura, Shun-ichi Kinoshita, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono
2011	B	`conf`	Adaptive Weighted Aggregation 2: More scalable AWA for multiobjective function optimization. IEEE Congress on Evolutionary Computation Naoki Hamada, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono
2011	B	`conf`	On scalability of Adaptive Weighted Aggregation for multiobjective function optimization. IEEE Congress on Evolutionary Computation Naoki Hamada, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono
2011	B	`conf`	Proposal of distance-weighted exponential natural evolution strategies. IEEE Congress on Evolutionary Computation Nobusumi Fukushima, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono
2010	—	`conf`	A Memetic Algorithm for the Pickup and Delivery Problem with Time Windows Using Selective Route Exchange Crossover. PPSN (1) Yuichi Nagata, Shigenobu Kobayashi
2010	B	`conf`	Adaptive weighted aggregation: A multiobjective function optimization framework taking account of spread and evenness of approximate solutions. IEEE Congress on Evolutionary Computation Naoki Hamada, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono
2010	—	`conf`	Bidirectional Relation between CMA Evolution Strategies and Natural Evolution Strategies. PPSN (1) Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi
2010	J	`jnl`	Discussions of worker ants' rule-based CHC dealing with changing environments. Appl. Soft Comput. Akimoto Kamiya, Kazuya Abiko, Shigenobu Kobayashi
2010	B	`conf`	Globally multimodal function optimization by Real-Coded Genetic Algorithms using traps. IEEE Congress on Evolutionary Computation Naoya Karatsu, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi
2010	B	`conf`	Guided Ejection Search for the Pickup and Delivery Problem with Time Windows. EvoCOP Yuichi Nagata, Shigenobu Kobayashi
2010	J	`jnl`	Large-scale Knowl. Inf. Syst. Jun Sakuma, Shigenobu Kobayashi
2010	—	`conf`	Natural Policy Gradient Methods with Parameter-based Exploration for Control Tasks. NIPS Atsushi Miyamae, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi
2010	A	`conf`	Theoretical analysis of evolutionary computation on continuously differentiable functions. GECCO Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi
2009	B	`conf`	A new real-coded genetic algorithm using the adaptive selection network for detecting multiple optima. IEEE Congress on Evolutionary Computation Dan Oshima, Atsushi Miyamae, Jun Sakuma, Shigenobu Kobayashi, Isao Ono
2009	A	`conf`	Adaptation of expansion rate for real-coded crossovers. GECCO Youhei Akimoto, Jun Sakuma, Isao Ono, Shigenobu Kobayashi
2009	J	`jnl`	Exploitation-Oriented Learning PS-r#. J. Adv. Comput. Intell. Intell. Informatics Kazuteru Miyazaki, Shigenobu Kobayashi
2009	A*	`conf`	Link analysis for private weighted graphs. SIGIR Jun Sakuma, Shigenobu Kobayashi
2008	A	`conf`	Functional-Specialization Multi-Objective Real-Coded Genetic Algorithm: FS-MOGA. PPSN Naoki Hamada, Jun Sakuma, Shigenobu Kobayashi, Isao Ono
2008	A	`conf`	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 Youhei Akimoto, Jun Sakuma, Isao Ono, Shigenobu Kobayashi
2008	B	`conf`	Large-Scale k-Means Clustering with User-Centric Privacy Preservation. PAKDD Jun Sakuma, Shigenobu Kobayashi
2008	A*	`conf`	Privacy-preserving reinforcement learning. ICML Jun Sakuma, Shigenobu Kobayashi, Rebecca N. Wright
2008	C	`conf`	Proposal of Exploitation-Oriented Learning PS-r#. IDEAL Kazuteru Miyazaki, Shigenobu Kobayashi
2007	A	`conf`	A genetic algorithm for privacy preserving combinatorial optimization. GECCO Jun Sakuma, Shigenobu Kobayashi
2007	C	`conf`	Constraint-Handling Method for Multi-objective Function Optimization: Pareto Descent Repair Operator. EMO Ken Harada, Jun Sakuma, Isao Ono, Shigenobu Kobayashi
2007	J	`jnl`	Reinforcement Learning for Penalty Avoidance in Continuous State Spaces. J. Adv. Comput. Intell. Intell. Informatics Kazuteru Miyazaki, Shigenobu Kobayashi
2007	A	`conf`	Uniform sampling of local pareto-optimal solution curves by pareto path following and its applications in multi-objective GA. GECCO Ken Harada, Jun Sakuma, Shigenobu Kobayashi, Isao Ono
2006	B	`conf`	An Evolutionary Algorithm for Optimizing Functions with UV Structures. SMC Hiroshi Takeichi, Isao Ono, Jun Sakuma, Shigenobu Kobayashi
2006	A	`conf`	Hybridization of genetic algorithm and local search in multiobjective function optimization: recommendation of GA then LS. GECCO Ken Harada, Kokolo Ikeda, Shigenobu Kobayashi
2006	B	`conf`	Instance-Based Policy Search using Binomial Distribution Crossover and Iterated Refreshment. IEEE Congress on Evolutionary Computation Chikao Tsuchiya, Kokolo Ikeda, Jun Sakuma, Isao Ono, Shigenobu Kobayashi
2006	A	`conf`	Local search for multiobjective function optimization: pareto descent method. GECCO Ken Harada, Jun Sakuma, Shigenobu Kobayashi
2005	A	`conf`	Adaptive isolation model using data clustering for multimodal function optimization. GECCO Shin Ando, Jun Sakuma, Shigenobu Kobayashi
2005	—	`conf`	An Effective Rule Based Policy Representation and its Optimization using Inter Normal Distribution Crossover. WSTST Chikao Tsuchiya, Jun Sakuma, Isao Ono, Shigenobu Kobayashi
2005	A	`conf`	Fitness-based neighbor selection for multimodal function optimization. GECCO Shin Ando, Shigenobu Kobayashi
2005	J	`jnl`	Fusion of soft computing and hard computing for large-scale plants: a general model. Appl. Soft Comput. Akimoto Kamiya, Seppo J. Ovaska, Rajkumar Roy, Shigenobu Kobayashi
2005	A	`conf`	Latent variable crossover for k-tablet structures and its application to lens design problems. GECCO Jun Sakuma, Shigenobu Kobayashi
2005	A	`conf`	Real-coded crossover as a role of kernel density estimation. GECCO Jun Sakuma, Shigenobu Kobayashi
2005	B	`conf`	Sample based crowding method for multimodal optimization in continuous domain. Congress on Evolutionary Computation Shin Ando, Einoshin Suzuki, Shigenobu Kobayashi
2004	B	`conf`	An angular distance dependent alternation model for real-coded genetic algorithms. IEEE Congress on Evolutionary Computation Osamu Takahashi, Shigenobu Kobayashi
2004	J	`jnl`	Application of genetic algorithm to flight schedule planning. Syst. Comput. Jpn. Nobue Adachi, Makihiko Sato, Shigenobu Kobayashi
2004	J	`jnl`	Development of a reinforcement learning system to play Othello. Artif. Life Robotics Kazuteru Miyazaki, Sougo Tsuboi, Shigenobu Kobayashi
2003	B	`conf`	Fusion of soft computing and hard computing for large-scale plants: an overview. SMC Akimoto Kamiya, Rajkumar Roy, Seppo J. Ovaska, Shigenobu Kobayashi
2003	—	`conf`	Fusion of soft computing and hard computing techniques for power energy system. CIRA Akimoto Kamiya, Kazue Shimada, Masakazu Kato, Shigenobu Kobayashi
2003	B	`conf`	Independent constraint satisfaction and its application to sewerage system control. IEEE Congress on Evolutionary Computation Kokolo Ikeda, Akihiro Nagaiwa, Kei Aoki, Shigenobu Kobayashi
2003	J	`jnl`	Moving target detection from infrared images using genetic algorithms. Syst. Comput. Jpn. Minoru Kikuchi, Hajime Kimura, Shigenobu Kobayashi
2002	A	`conf`	Deterministic Multi-step Crossover Fusion: A Handy Crossover Composition for GAs. PPSN Kokolo Ikeda, Shigenobu Kobayashi
2002	J	`jnl`	Theoretical proof of edge search strategy applied to power plant start-up scheduling. IEEE Trans. Syst. Man Cybern. Part B Akimoto Kamiya, Kensuke Kawai, Isao Ono, Shigenobu Kobayashi
2002	—	`conf`	k-tablet Structures and Crossover on Latent Variables for Real-Coded GA. GECCO Late Breaking Papers Jun Sakuma, Shigenobu Kobayashi
2001	B	`conf`	An adaptive neighboring search using crossover-like mutation for multi modal function optimization. SMC Osamu Takahashi, Shigenobu Kobayashi
2001	A*	`conf`	Average-Reward Reinforcement Learning for Variance Penalized Markov Decision Problems. ICML Makoto Sato, Shigenobu Kobayashi
2001	B	`conf`	Extrapolation-directed crossover for real-coded GA: overcoming deceptive phenomena by extrapolative search. CEC Jun Sakuma, Shigenobu Kobayashi
2001	B	`conf`	Failure of Pareto-based MOEAs: does non-dominated really mean near to optimal? CEC Kokolo Ikeda, Hajime Kita, Shigenobu Kobayashi
2001	J	`jnl`	Rationality of Reward Sharing in Multi-agent Reinforcement Learning. New Gener. Comput. Kazuteru Miyazaki, Shigenobu Kobayashi
2001	—	`conf`	Reinforcement learning of walking behavior for a four-legged robot. CDC Hajime Kimura, Toru Yamashita, Shigenobu Kobayashi
2000	A	`conf`	A Real-Coded Genetic Algorithm using Distance Dependent Alternation Model for Complex Function Optimization. GECCO Osamu Takahashi, Hajime Kita, Shigenobu Kobayashi
2000	A*	`conf`	A Universal Generalization for Temporal-Difference Learning Using Haar Basis Functions. ICML Susumu Katayama, Hajime Kimura, Shigenobu Kobayashi
2000	A	`conf`	Extrapolation-Directed Crossover for Job-shop Scheduling Problems: Complementary Combination with JOX. GECCO Jun Sakuma, Shigenobu Kobayashi
2000	A	`conf`	GA Based on the UV-Structure Hypothesis and Its Application to JSP. PPSN Kokolo Ikeda, Shigenobu Kobayashi
2000	B	`conf`	Reinforcement learning for penalty avoiding policy making. SMC Kazuteru Miyazaki, Shigenobu Kobayashi
2000	C	`conf`	Variance-Penalized Reinforcement Learning for Risk-Averse Asset Allocation. IDEAL Makoto Sato, Shigenobu Kobayashi
1999	J	`jnl`	Adaptive-edge search for power plant start-up scheduling. IEEE Trans. Syst. Man Cybern. Part C Akimoto Kamiya, Kensuke Kawai, Isao Ono, Shigenobu Kobayashi
1999	A*	`conf`	Efficient Non-Linear Control by Combining Q-learning with Local Linear Controllers. ICML Hajime Kimura, Shigenobu Kobayashi
1999	C	`conf`	Multi-agent Reinforcement Learning for Crane Control Problem: Designing Rewards for Conflict Resolution. ISADS Sachiyo Arai, Kazuteru Miyazaki, Shigenobu Kobayashi
1999	B	`conf`	Multi-parental extension of the unimodal normal distribution crossover for real-coded genetic algorithms. CEC Hajime Kita, Isao Ono, Shigenobu Kobayashi
1999	B	`conf`	Rationality of Reward Sharing in Multi-agent Reinforcement Learning. PRIMA Kazuteru Miyazaki, Shigenobu Kobayashi
1998	A*	`conf`	An Analysis of Actor/Critic Algorithms Using Eligibility Traces: Reinforcement Learning with Imperfect Value Function. ICML Hajime Kimura, Shigenobu Kobayashi
1998	J	`jnl`	Power plant start-up scheduling: a reinforcement learning approach combined with evolutionary computation. J. Intell. Fuzzy Syst. Akimoto Kamiya, Hajime Kimura, Masayuki Yamamura, Shigenobu Kobayashi
1997	—	`conf`	A Real Coded Genetic Algorithm for Function Optimization Using Unimodal Normal Distributed Crossover. ICGA Isao Ono, Shigenobu Kobayashi
1997	—	`conf`	An Efficient Genetic Algorithm for Reachability Problems. HICSS (5) Keiko Takahashi, Isao Ono, Hiroshi Satoh, Shigenobu Kobayashi
1997	—	`conf`	Edge Assembly Crossover: A High-Power Genetic Algorithm for the Travelling Salesman Problem. ICGA Yuichi Nagata, Shigenobu Kobayashi
1997	A*	`conf`	Reinforcement Learning in POMDPs with Function Approximation. ICML Hajime Kimura, Kazuteru Miyazaki, Shigenobu Kobayashi
1997	J	`jnl`	k-Certainty Exploration Method: An Action Selector to Identify the Environment in Reinforcement Learning. Artif. Intell. Kazuteru Miyazaki, Masayuki Yamamura, Shigenobu Kobayashi
1996	—	`conf`	A Genetic Algorithm for Job-Shop Scheduling Problems Using Job-Based Order Crossover. International Conference on Evolutionary Computation Isao Ono, Masayuki Yamamura, Shigenobu Kobayashi
1996	—	`conf`	Emergent Search on Double Circle TSPs Using Subgour Exchange Crossover. International Conference on Evolutionary Computation Masayuki Yamamura, Isao Ono, Shigenobu Kobayashi
1996	—	`conf`	Multi-Objective Optimization by Genetic Algorithms: A Review. International Conference on Evolutionary Computation Hisashi Tamaki, Hajime Kita, Shigenobu Kobayashi
1995	—	`conf`	An Efficient Genetic Algorithm for Job Shop Scheduling Problems. ICGA Shigenobu Kobayashi, Isao Ono, Masayuki Yamamura
1995	A*	`conf`	Reinforcement Learning by Stochastic Hill Climbing on Discounted Reward. ICML Hajime Kimura, Masayuki Yamamura, Shigenobu Kobayashi
1994	—	`conf`	An Analysis of Crossover's Effect in Genetic Algorithms. International Conference on Evolutionary Computation Masayuki Yamamura, Hiroshi Satoh, Shigenobu Kobayashi
1993	B	`ed.`	Algorithmic Learning Theory, 4th International Workshop, ALT '93, Tokyo, Japan, November 8-10, 1993, Proceedings ALT Klaus P. Jantke, Shigenobu Kobayashi, Etsuji Tomita, Takashi Yokomori
1991	A*	`conf`	An Augmented EBL and its Application to the Utility Problem. IJCAI Masayuki Yamamura, Shigenobu Kobayashi
1991	—	`conf`	Case-Based Reasoning for Action Planning by Representing Situations at the Abstract Layers. Fuzzy Logic and Fuzzy Control Toshihiko Yokogawa, Takefumi Sakurai, Akira Nukuzuma, Tomohiro Takagi, Shigenobu Kobayashi
1991	J	`jnl`	Knowledge Compilation and Refinement for Fault Diagnosis. IEEE Expert Shigenobu Kobayashi, Kotaro Nakamura
1983	J	`jnl`	An interactive system for supporting multiobjective decision making. Autom. Vilas Wuwongse, Shigenobu Kobayashi, Atsunobu Ichikawa