An interactive system for supporting multiobjective decision making. - Vilas Wuwongse; Shigenobu Kobayashi; Atsunobu Ichikawa (Autom., 1983)

An Augmented EBL and its Application to the Utility Problem. - Masayuki Yamamura; Shigenobu Kobayashi (IJCAI, 1991)

Case-Based Reasoning for Action Planning by Representing Situations at the Abstract Layers. - Toshihiko Yokogawa; Takefumi Sakurai; Akira Nukuzuma; Tomohiro Takagi; Shigenobu Kobayashi (Fuzzy Logic and Fuzzy Control, 1991)

Knowledge Compilation and Refinement for Fault Diagnosis. - Shigenobu Kobayashi; Kotaro Nakamura (IEEE Expert, 1991)

An Analysis of Crossover's Effect in Genetic Algorithms. - Masayuki Yamamura; Hiroshi Satoh; Shigenobu Kobayashi (International Conference on Evolutionary Computation, 1994)

An Efficient Genetic Algorithm for Job Shop Scheduling Problems. - Shigenobu Kobayashi; Isao Ono; Masayuki Yamamura (ICGA, 1995)

Reinforcement Learning by Stochastic Hill Climbing on Discounted Reward. - Hajime Kimura; Masayuki Yamamura; Shigenobu Kobayashi (ICML, 1995)

A Genetic Algorithm for Job-Shop Scheduling Problems Using Job-Based Order Crossover. - Isao Ono; Masayuki Yamamura; Shigenobu Kobayashi (International Conference on Evolutionary Computation, 1996)

Multi-Objective Optimization by Genetic Algorithms: A Review. - Hisashi Tamaki; Hajime Kita; Shigenobu Kobayashi (International Conference on Evolutionary Computation, 1996)

Emergent Search on Double Circle TSPs Using Subgour Exchange Crossover. - Masayuki Yamamura; Isao Ono; Shigenobu Kobayashi (International Conference on Evolutionary Computation, 1996)

An Efficient Genetic Algorithm for Reachability Problems. - Keiko Takahashi; Isao Ono; Hiroshi Satoh; Shigenobu Kobayashi (HICSS (5), 1997)

Edge Assembly Crossover: A High-Power Genetic Algorithm for the Travelling Salesman Problem. - Yuichi Nagata; Shigenobu Kobayashi (ICGA, 1997)

A Real Coded Genetic Algorithm for Function Optimization Using Unimodal Normal Distributed Crossover. - Isao Ono; Shigenobu Kobayashi (ICGA, 1997)

Reinforcement Learning in POMDPs with Function Approximation. - Hajime Kimura; Kazuteru Miyazaki; Shigenobu Kobayashi (ICML, 1997)

k-Certainty Exploration Method: An Action Selector to Identify the Environment in Reinforcement Learning. - Kazuteru Miyazaki; Masayuki Yamamura; Shigenobu Kobayashi (Artif. Intell., 1997)

An Analysis of Actor/Critic Algorithms Using Eligibility Traces: Reinforcement Learning with Imperfect Value Function. - Hajime Kimura; Shigenobu Kobayashi (ICML, 1998)

Power plant start-up scheduling: a reinforcement learning approach combined with evolutionary computation. - Akimoto Kamiya; Hajime Kimura; Masayuki Yamamura; Shigenobu Kobayashi (J. Intell. Fuzzy Syst., 1998)

Multi-parental extension of the unimodal normal distribution crossover for real-coded genetic algorithms. - Hajime Kita; Isao Ono; Shigenobu Kobayashi (CEC, 1999)

Efficient Non-Linear Control by Combining Q-learning with Local Linear Controllers. - Hajime Kimura; Shigenobu Kobayashi (ICML, 1999)

Multi-agent Reinforcement Learning for Crane Control Problem: Designing Rewards for Conflict Resolution. - Sachiyo Arai; Kazuteru Miyazaki; Shigenobu Kobayashi (ISADS, 1999)

Rationality of Reward Sharing in Multi-agent Reinforcement Learning. - Kazuteru Miyazaki; Shigenobu Kobayashi (PRIMA, 1999)

Adaptive-edge search for power plant start-up scheduling. - Akimoto Kamiya; Kensuke Kawai; Isao Ono; Shigenobu Kobayashi (IEEE Trans. Syst. Man Cybern. Part C, 1999)

Extrapolation-Directed Crossover for Job-shop Scheduling Problems: Complementary Combination with JOX. - Jun Sakuma; Shigenobu Kobayashi (GECCO, 2000)

A Real-Coded Genetic Algorithm using Distance Dependent Alternation Model for Complex Function Optimization. - Osamu Takahashi; Hajime Kita; Shigenobu Kobayashi (GECCO, 2000)

A Universal Generalization for Temporal-Difference Learning Using Haar Basis Functions. - Susumu Katayama; Hajime Kimura; Shigenobu Kobayashi (ICML, 2000)

Variance-Penalized Reinforcement Learning for Risk-Averse Asset Allocation. - Makoto Sato; Shigenobu Kobayashi (IDEAL, 2000)

GA Based on the UV-Structure Hypothesis and Its Application to JSP. - Kokolo Ikeda; Shigenobu Kobayashi (PPSN, 2000)

Reinforcement learning for penalty avoiding policy making. - Kazuteru Miyazaki; Shigenobu Kobayashi (SMC, 2000)

Reinforcement learning of walking behavior for a four-legged robot. - Hajime Kimura; Toru Yamashita; Shigenobu Kobayashi (CDC, 2001)

Failure of Pareto-based MOEAs: does non-dominated really mean near to optimal? - Kokolo Ikeda; Hajime Kita; Shigenobu Kobayashi (CEC, 2001)

Extrapolation-directed crossover for real-coded GA: overcoming deceptive phenomena by extrapolative search. - Jun Sakuma; Shigenobu Kobayashi (CEC, 2001)

Average-Reward Reinforcement Learning for Variance Penalized Markov Decision Problems. - Makoto Sato; Shigenobu Kobayashi (ICML, 2001)

An adaptive neighboring search using crossover-like mutation for multi modal function optimization. - Osamu Takahashi; Shigenobu Kobayashi (SMC, 2001)

k-tablet Structures and Crossover on Latent Variables for Real-Coded GA. - Jun Sakuma; Shigenobu Kobayashi (GECCO Late Breaking Papers, 2002)

Deterministic Multi-step Crossover Fusion: A Handy Crossover Composition for GAs. - Kokolo Ikeda; Shigenobu Kobayashi (PPSN, 2002)

Theoretical proof of edge search strategy applied to power plant start-up scheduling. - Akimoto Kamiya; Kensuke Kawai; Isao Ono; Shigenobu Kobayashi (IEEE Trans. Syst. Man Cybern. Part B, 2002)

Independent constraint satisfaction and its application to sewerage system control. - Kokolo Ikeda; Akihiro Nagaiwa; Kei Aoki; Shigenobu Kobayashi (IEEE Congress on Evolutionary Computation, 2003)

Fusion of soft computing and hard computing techniques for power energy system. - Akimoto Kamiya; Kazue Shimada; Masakazu Kato; Shigenobu Kobayashi (CIRA, 2003)

Fusion of soft computing and hard computing for large-scale plants: an overview. - Akimoto Kamiya; Rajkumar Roy; Seppo J. Ovaska; Shigenobu Kobayashi (SMC, 2003)

Moving target detection from infrared images using genetic algorithms. - Minoru Kikuchi; Hajime Kimura; Shigenobu Kobayashi (Syst. Comput. Jpn., 2003)

An angular distance dependent alternation model for real-coded genetic algorithms. - Osamu Takahashi; Shigenobu Kobayashi (IEEE Congress on Evolutionary Computation, 2004)

Development of a reinforcement learning system to play Othello. - Kazuteru Miyazaki; Sougo Tsuboi; Shigenobu Kobayashi (Artif. Life Robotics, 2004)

Application of genetic algorithm to flight schedule planning. - Nobue Adachi; Makihiko Sato; Shigenobu Kobayashi (Syst. Comput. Jpn., 2004)

Sample based crowding method for multimodal optimization in continuous domain. - Shin Ando; Einoshin Suzuki; Shigenobu Kobayashi (Congress on Evolutionary Computation, 2005)

Fitness-based neighbor selection for multimodal function optimization. - Shin Ando; Shigenobu Kobayashi (GECCO, 2005)

Adaptive isolation model using data clustering for multimodal function optimization. - Shin Ando; Jun Sakuma; Shigenobu Kobayashi (GECCO, 2005)

Real-coded crossover as a role of kernel density estimation. - Jun Sakuma; Shigenobu Kobayashi (GECCO, 2005)

Latent variable crossover for k-tablet structures and its application to lens design problems. - Jun Sakuma; Shigenobu Kobayashi (GECCO, 2005)

An Effective Rule Based Policy Representation and its Optimization using Inter Normal Distribution Crossover. - Chikao Tsuchiya; Jun Sakuma; Isao Ono; Shigenobu Kobayashi (WSTST, 2005)

Fusion of soft computing and hard computing for large-scale plants: a general model. - Akimoto Kamiya; Seppo J. Ovaska; Rajkumar Roy; Shigenobu Kobayashi (Appl. Soft Comput., 2005)

Instance-Based Policy Search using Binomial Distribution Crossover and Iterated Refreshment. - Chikao Tsuchiya; Kokolo Ikeda; Jun Sakuma; Isao Ono; Shigenobu Kobayashi (IEEE Congress on Evolutionary Computation, 2006)

Hybridization of genetic algorithm and local search in multiobjective function optimization: recommendation of GA then LS. - Ken Harada; Kokolo Ikeda; Shigenobu Kobayashi (GECCO, 2006)

Local search for multiobjective function optimization: pareto descent method. - Ken Harada; Jun Sakuma; Shigenobu Kobayashi (GECCO, 2006)

An Evolutionary Algorithm for Optimizing Functions with UV Structures. - Hiroshi Takeichi; Isao Ono; Jun Sakuma; Shigenobu Kobayashi (SMC, 2006)

Constraint-Handling Method for Multi-objective Function Optimization: Pareto Descent Repair Operator. - Ken Harada; Jun Sakuma; Isao Ono; Shigenobu Kobayashi (EMO, 2007)

Uniform sampling of local pareto-optimal solution curves by pareto path following and its applications in multi-objective GA. - Ken Harada; Jun Sakuma; Shigenobu Kobayashi; Isao Ono (GECCO, 2007)

A genetic algorithm for privacy preserving combinatorial optimization. - Jun Sakuma; Shigenobu Kobayashi (GECCO, 2007)

Reinforcement Learning for Penalty Avoidance in Continuous State Spaces. - Kazuteru Miyazaki; Shigenobu Kobayashi (J. Adv. Comput. Intell. Intell. Informatics, 2007)

Functionally specialized CMA-ES: a modification of CMA-ES based on the specialization of the functions of covariance matrix adaptation and step size adaptation. - Youhei Akimoto; Jun Sakuma; Isao Ono; Shigenobu Kobayashi (GECCO, 2008)

Privacy-preserving reinforcement learning. - Jun Sakuma; Shigenobu Kobayashi; Rebecca N. Wright (ICML, 2008)

Proposal of Exploitation-Oriented Learning PS-r#. - Kazuteru Miyazaki; Shigenobu Kobayashi (IDEAL, 2008)

Large-Scale k-Means Clustering with User-Centric Privacy Preservation. - Jun Sakuma; Shigenobu Kobayashi (PAKDD, 2008)

Functional-Specialization Multi-Objective Real-Coded Genetic Algorithm: FS-MOGA. - Naoki Hamada; Jun Sakuma; Shigenobu Kobayashi; Isao Ono (PPSN, 2008)

A new real-coded genetic algorithm using the adaptive selection network for detecting multiple optima. - Dan Oshima; Atsushi Miyamae; Jun Sakuma; Shigenobu Kobayashi; Isao Ono (IEEE Congress on Evolutionary Computation, 2009)

Adaptation of expansion rate for real-coded crossovers. - Youhei Akimoto; Jun Sakuma; Isao Ono; Shigenobu Kobayashi (GECCO, 2009)

Link analysis for private weighted graphs. - Jun Sakuma; Shigenobu Kobayashi (SIGIR, 2009)

Exploitation-Oriented Learning PS-r#. - Kazuteru Miyazaki; Shigenobu Kobayashi (J. Adv. Comput. Intell. Intell. Informatics, 2009)

Adaptive weighted aggregation: A multiobjective function optimization framework taking account of spread and evenness of approximate solutions. - Naoki Hamada; Yuichi Nagata; Shigenobu Kobayashi; Isao Ono (IEEE Congress on Evolutionary Computation, 2010)

Globally multimodal function optimization by Real-Coded Genetic Algorithms using traps. - Naoya Karatsu; Yuichi Nagata; Isao Ono; Shigenobu Kobayashi (IEEE Congress on Evolutionary Computation, 2010)

Guided Ejection Search for the Pickup and Delivery Problem with Time Windows. - Yuichi Nagata; Shigenobu Kobayashi (EvoCOP, 2010)

Theoretical analysis of evolutionary computation on continuously differentiable functions. - Youhei Akimoto; Yuichi Nagata; Isao Ono; Shigenobu Kobayashi (GECCO, 2010)

Natural Policy Gradient Methods with Parameter-based Exploration for Control Tasks. - Atsushi Miyamae; Yuichi Nagata; Isao Ono; Shigenobu Kobayashi (NIPS, 2010)

Bidirectional Relation between CMA Evolution Strategies and Natural Evolution Strategies. - Youhei Akimoto; Yuichi Nagata; Isao Ono; Shigenobu Kobayashi (PPSN (1), 2010)

A Memetic Algorithm for the Pickup and Delivery Problem with Time Windows Using Selective Route Exchange Crossover. - Yuichi Nagata; Shigenobu Kobayashi (PPSN (1), 2010)

Discussions of worker ants' rule-based CHC dealing with changing environments. - Akimoto Kamiya; Kazuya Abiko; Shigenobu Kobayashi (Appl. Soft Comput., 2010)

Large-scale k-means clustering with user-centric privacy-preservation. - Jun Sakuma; Shigenobu Kobayashi (Knowl. Inf. Syst., 2010)

Proposal of distance-weighted exponential natural evolution strategies. - Nobusumi Fukushima; Yuichi Nagata; Shigenobu Kobayashi; Isao Ono (IEEE Congress on Evolutionary Computation, 2011)

On scalability of Adaptive Weighted Aggregation for multiobjective function optimization. - Naoki Hamada; Yuichi Nagata; Shigenobu Kobayashi; Isao Ono (IEEE Congress on Evolutionary Computation, 2011)

Adaptive Weighted Aggregation 2: More scalable AWA for multiobjective function optimization. - Naoki Hamada; Yuichi Nagata; Shigenobu Kobayashi; Isao Ono (IEEE Congress on Evolutionary Computation, 2011)

A new framework taking account of multi-funnel functions for Real-coded Genetic Algorithms. - Kento Uemura; Shun-ichi Kinoshita; Yuichi Nagata; Shigenobu Kobayashi; Isao Ono (IEEE Congress on Evolutionary Computation, 2011)

Theoretical Foundation for CMA-ES from Information Geometry Perspective. - Youhei Akimoto; Yuichi Nagata; Isao Ono; Shigenobu Kobayashi (Algorithmica, 2012)

Theoretical foundation for CMA-ES from information geometric perspective - Youhei Akimoto; Yuichi Nagata; Isao Ono; Shigenobu Kobayashi (CoRR, 2012)

A Powerful Genetic Algorithm Using Edge Assembly Crossover for the Traveling Salesman Problem. - Yuichi Nagata; Shigenobu Kobayashi (INFORMS J. Comput., 2013)