Shigenobu Kobayashi

Publication Activity (10 Years)

Years Active: 1983-2013
Publications (10 Years): 0

Top Topics

Ant Colony Optimization Algorithm

Combinatorial Optimization Problems

Top Venues

INFORMS J. Comput.

Publications

Yuichi Nagata, Shigenobu Kobayashi
A Powerful Genetic Algorithm Using Edge Assembly Crossover for the Traveling Salesman Problem. INFORMS J. Comput. 25 (2) (2013)
Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi
Theoretical foundation for CMA-ES from information geometric perspective CoRR (2012)
Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi
Theoretical Foundation for CMA-ES from Information Geometry Perspective. Algorithmica 64 (4) (2012)
Nobusumi Fukushima, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono
Proposal of distance-weighted exponential natural evolution strategies. IEEE Congress on Evolutionary Computation (2011)
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)
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)
Naoki Hamada, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono
On scalability of Adaptive Weighted Aggregation for multiobjective function optimization. IEEE Congress on Evolutionary Computation (2011)
Yuichi Nagata, Shigenobu Kobayashi
A Memetic Algorithm for the Pickup and Delivery Problem with Time Windows Using Selective Route Exchange Crossover. PPSN (1) (2010)
Jun Sakuma, Shigenobu Kobayashi
-means clustering with user-centric privacy-preservation. Knowl. Inf. Syst. 25 (2) (2010)
Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi
Bidirectional Relation between CMA Evolution Strategies and Natural Evolution Strategies. PPSN (1) (2010)
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)
Atsushi Miyamae, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi
Natural Policy Gradient Methods with Parameter-based Exploration for Control Tasks. NIPS (2010)
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)
Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi
Theoretical analysis of evolutionary computation on continuously differentiable functions. GECCO (2010)
Yuichi Nagata, Shigenobu Kobayashi
Guided Ejection Search for the Pickup and Delivery Problem with Time Windows. EvoCOP (2010)
Akimoto Kamiya, Kazuya Abiko, Shigenobu Kobayashi
Discussions of worker ants' rule-based CHC dealing with changing environments. Appl. Soft Comput. 10 (1) (2010)
Youhei Akimoto, Jun Sakuma, Isao Ono, Shigenobu Kobayashi
Adaptation of expansion rate for real-coded crossovers. GECCO (2009)
Kazuteru Miyazaki, Shigenobu Kobayashi
Exploitation-Oriented Learning PS-r#. J. Adv. Comput. Intell. Intell. Informatics 13 (6) (2009)
Jun Sakuma, Shigenobu Kobayashi
Link analysis for private weighted graphs. SIGIR (2009)
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)
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)
Naoki Hamada, Jun Sakuma, Shigenobu Kobayashi, Isao Ono
Functional-Specialization Multi-Objective Real-Coded Genetic Algorithm: FS-MOGA. PPSN (2008)
Jun Sakuma, Shigenobu Kobayashi
Large-Scale k-Means Clustering with User-Centric Privacy Preservation. PAKDD (2008)
Jun Sakuma, Shigenobu Kobayashi, Rebecca N. Wright
Privacy-preserving reinforcement learning. ICML (2008)
Kazuteru Miyazaki, Shigenobu Kobayashi
Proposal of Exploitation-Oriented Learning PS-r#. IDEAL (2008)
Kazuteru Miyazaki, Shigenobu Kobayashi
Reinforcement Learning for Penalty Avoidance in Continuous State Spaces. J. Adv. Comput. Intell. Intell. Informatics 11 (6) (2007)
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)
Jun Sakuma, Shigenobu Kobayashi
A genetic algorithm for privacy preserving combinatorial optimization. GECCO (2007)
Ken Harada, Jun Sakuma, Shigenobu Kobayashi
Local search for multiobjective function optimization: pareto descent method. GECCO (2006)
Hiroshi Takeichi, Isao Ono, Jun Sakuma, Shigenobu Kobayashi
An Evolutionary Algorithm for Optimizing Functions with UV Structures. SMC (2006)
Ken Harada, Jun Sakuma, Isao Ono, Shigenobu Kobayashi
Constraint-Handling Method for Multi-objective Function Optimization: Pareto Descent Repair Operator. EMO (2006)
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)
Ken Harada, Kokolo Ikeda, Shigenobu Kobayashi
Hybridization of genetic algorithm and local search in multiobjective function optimization: recommendation of GA then LS. GECCO (2006)
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) (2005)
Shin Ando, Einoshin Suzuki, Shigenobu Kobayashi
Sample based crowding method for multimodal optimization in continuous domain. Congress on Evolutionary Computation (2005)
Jun Sakuma, Shigenobu Kobayashi
Latent variable crossover for k-tablet structures and its application to lens design problems. GECCO (2005)
Shin Ando, Shigenobu Kobayashi
Fitness-based neighbor selection for multimodal function optimization. GECCO (2005)
Chikao Tsuchiya, Jun Sakuma, Isao Ono, Shigenobu Kobayashi
An Effective Rule Based Policy Representation and its Optimization using Inter Normal Distribution Crossover. WSTST (2005)
Jun Sakuma, Shigenobu Kobayashi
Real-coded crossover as a role of kernel density estimation. GECCO (2005)
Shin Ando, Jun Sakuma, Shigenobu Kobayashi
Adaptive isolation model using data clustering for multimodal function optimization. GECCO (2005)
Osamu Takahashi, Shigenobu Kobayashi
An angular distance dependent alternation model for real-coded genetic algorithms. IEEE Congress on Evolutionary Computation (2004)
Nobue Adachi, Makihiko Sato, Shigenobu Kobayashi
Application of genetic algorithm to flight schedule planning. Systems and Computers in Japan 35 (12) (2004)
Kazuteru Miyazaki, Sougo Tsuboi, Shigenobu Kobayashi
Development of a reinforcement learning system to play Othello. Artif. Life Robotics 7 (4) (2004)
Akimoto Kamiya, Rajkumar Roy, Seppo J. Ovaska, Shigenobu Kobayashi
Fusion of soft computing and hard computing for large-scale plants: an overview. SMC (2003)
Minoru Kikuchi, Hajime Kimura, Shigenobu Kobayashi
Moving target detection from infrared images using genetic algorithms. Systems and Computers in Japan 34 (7) (2003)
Akimoto Kamiya, Kazue Shimada, Masakazu Kato, Shigenobu Kobayashi
Fusion of soft computing and hard computing techniques for power energy system. CIRA (2003)
Kokolo Ikeda, Akihiro Nagaiwa, Kei Aoki, Shigenobu Kobayashi
Independent constraint satisfaction and its application to sewerage system control. IEEE Congress on Evolutionary Computation (2003)
Akimoto Kamiya, K. 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) (2002)
Jun Sakuma, Shigenobu Kobayashi
k-tablet Structures and Crossover on Latent Variables for Real-Coded GA. GECCO Late Breaking Papers (2002)
Kokolo Ikeda, Shigenobu Kobayashi
Deterministic Multi-step Crossover Fusion: A Handy Crossover Composition for GAs. PPSN (2002)
Kazuteru Miyazaki, Shigenobu Kobayashi
Rationality of Reward Sharing in Multi-agent Reinforcement Learning. New Gener. Comput. 19 (2) (2001)
Osamu Takahashi, Shigenobu Kobayashi
An adaptive neighboring search using crossover-like mutation for multi modal function optimization. SMC (2001)
Makoto Sato, Shigenobu Kobayashi
Average-Reward Reinforcement Learning for Variance Penalized Markov Decision Problems. ICML (2001)
Hajime Kimura, Toru Yamashita, Shigenobu Kobayashi
Reinforcement learning of walking behavior for a four-legged robot. CDC (2001)
Jun Sakuma, Shigenobu Kobayashi
Extrapolation-directed crossover for real-coded GA: overcoming deceptive phenomena by extrapolative search. CEC (2001)
Kokolo Ikeda, Hajime Kita, Shigenobu Kobayashi
Failure of Pareto-based MOEAs: does non-dominated really mean near to optimal? CEC (2001)
Osamu Takahashi, Hajime Kita, Shigenobu Kobayashi
A Real-Coded Genetic Algorithm using Distance Dependent Alternation Model for Complex Function Optimization. GECCO (2000)
Kokolo Ikeda, Shigenobu Kobayashi
GA Based on the UV-Structure Hypothesis and Its Application to JSP. PPSN (2000)
Kazuteru Miyazaki, Shigenobu Kobayashi
Reinforcement learning for penalty avoiding policy making. SMC (2000)
Jun Sakuma, Shigenobu Kobayashi
Extrapolation-Directed Crossover for Job-shop Scheduling Problems: Complementary Combination with JOX. GECCO (2000)
Susumu Katayama, Hajime Kimura, Shigenobu Kobayashi
A Universal Generalization for Temporal-Difference Learning Using Haar Basis Functions. ICML (2000)
Makoto Sato, Shigenobu Kobayashi
Variance-Penalized Reinforcement Learning for Risk-Averse Asset Allocation. IDEAL (2000)
Sachiyo Arai, Kazuteru Miyazaki, Shigenobu Kobayashi
Multi-agent Reinforcement Learning for Crane Control Problem: Designing Rewards for Conflict Resolution. ISADS (1999)
Hajime Kita, Isao Ono, Shigenobu Kobayashi
Multi-parental extension of the unimodal normal distribution crossover for real-coded genetic algorithms. CEC (1999)
Hajime Kimura, Shigenobu Kobayashi
Efficient Non-Linear Control by Combining Q-learning with Local Linear Controllers. ICML (1999)
Akimoto Kamiya, K. Kawai, Isao Ono, Shigenobu Kobayashi
Adaptive-edge search for power plant start-up scheduling. IEEE Trans. Syst. Man Cybern. Part C 29 (4) (1999)
Kazuteru Miyazaki, Shigenobu Kobayashi
Rationality of Reward Sharing in Multi-agent Reinforcement Learning. PRIMA (1999)
Hajime Kimura, Shigenobu Kobayashi
An Analysis of Actor/Critic Algorithms Using Eligibility Traces: Reinforcement Learning with Imperfect Value Function. ICML (1998)
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) (1998)
Kazuteru Miyazaki, Masayuki Yamamura, Shigenobu Kobayashi
k-Certainty Exploration Method: An Action Selector to Identify the Environment in Reinforcement Learning. Artif. Intell. 91 (1) (1997)
Yuichi Nagata, Shigenobu Kobayashi
Edge Assembly Crossover: A High-Power Genetic Algorithm for the Travelling Salesman Problem. ICGA (1997)
Isao Ono, Shigenobu Kobayashi
A Real Coded Genetic Algorithm for Function Optimization Using Unimodal Normal Distributed Crossover. ICGA (1997)
Hajime Kimura, Kazuteru Miyazaki, Shigenobu Kobayashi
Reinforcement Learning in POMDPs with Function Approximation. ICML (1997)
Keiko Takahashi, Isao Ono, Hiroshi Satoh, Shigenobu Kobayashi
An Efficient Genetic Algorithm for Reachability Problems. HICSS (5) (1997)
Masayuki Yamamura, Isao Ono, Shigenobu Kobayashi
Emergent Search on Double Circle TSPs Using Subgour Exchange Crossover. International Conference on Evolutionary Computation (1996)
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)
Hisashi Tamaki, Hajime Kita, Shigenobu Kobayashi
Multi-Objective Optimization by Genetic Algorithms: A Review. International Conference on Evolutionary Computation (1996)
Hajime Kimura, Masayuki Yamamura, Shigenobu Kobayashi
Reinforcement Learning by Stochastic Hill Climbing on Discounted Reward. ICML (1995)
Shigenobu Kobayashi, Isao Ono, Masayuki Yamamura
An Efficient Genetic Algorithm for Job Shop Scheduling Problems. ICGA (1995)
Masayuki Yamamura, Hiroshi Satoh, Shigenobu Kobayashi
An Analysis of Crossover's Effect in Genetic Algorithms. International Conference on Evolutionary Computation (1994)
Masayuki Yamamura, Shigenobu Kobayashi
An Augmented EBL and its Application to the Utility Problem. IJCAI (1991)
Shigenobu Kobayashi, Kotaro Nakamura
Knowledge Compilation and Refinement for Fault Diagnosis. IEEE Expert 6 (5) (1991)
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)
Vilas Wuwongse, Shigenobu Kobayashi, Atsunobu Ichikawa
An interactive system for supporting multiobjective decision making. Autom. 19 (6) (1983)