| 2011 | CEC | Proposal of distance-weighted exponential natural evolution strategies. | Nobusumi Fukushima, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono |
| 2011 | CEC | On scalability of Adaptive Weighted Aggregation for multiobjective function optimization. | Naoki Hamada, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono |
| 2011 | CEC | Adaptive Weighted Aggregation 2: More scalable AWA for multiobjective function optimization. | Naoki Hamada, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono |
| 2011 | CEC | 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 |
| 2010 | CEC | 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 |
| 2010 | CEC | Globally multimodal function optimization by Real-Coded Genetic Algorithms using traps. | Naoya Karatsu, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi |
| 2010 | GECCO | Theoretical analysis of evolutionary computation on continuously differentiable functions. | Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi |
| 2010 | PPSN | Bidirectional Relation between CMA Evolution Strategies and Natural Evolution Strategies. | Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi |
| 2010 | PPSN | A Memetic Algorithm for the Pickup and Delivery Problem with Time Windows Using Selective Route Exchange Crossover. | Yuichi Nagata, Shigenobu Kobayashi |
| 2009 | CEC | 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 |
| 2009 | GECCO | Adaptation of expansion rate for real-coded crossovers. | Youhei Akimoto, Jun Sakuma, Isao Ono, Shigenobu Kobayashi |
| 2009 | SIGIR | Link analysis for private weighted graphs. | Jun Sakuma, Shigenobu Kobayashi |
| 2008 | GECCO | 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 |
| 2008 | ICML | Privacy-preserving reinforcement learning. | Jun Sakuma, Shigenobu Kobayashi, Rebecca N. Wright |
| 2008 | IDEAL | Proposal of Exploitation-Oriented Learning PS-r#. | Kazuteru Miyazaki, Shigenobu Kobayashi |
| 2008 | PAKDD | Large-Scale k-Means Clustering with User-Centric Privacy Preservation. | Jun Sakuma, Shigenobu Kobayashi |
| 2008 | PPSN | Functional-Specialization Multi-Objective Real-Coded Genetic Algorithm: FS-MOGA. | Naoki Hamada, Jun Sakuma, Shigenobu Kobayashi, Isao Ono |
| 2007 | EMO | Constraint-Handling Method for Multi-objective Function Optimization: Pareto Descent Repair Operator. | Ken Harada, Jun Sakuma, Isao Ono, Shigenobu Kobayashi |
| 2007 | GECCO | 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 |
| 2007 | GECCO | A genetic algorithm for privacy preserving combinatorial optimization. | Jun Sakuma, Shigenobu Kobayashi |
| 2006 | CEC | Instance-Based Policy Search using Binomial Distribution Crossover and Iterated Refreshment. | Chikao Tsuchiya, Kokolo Ikeda, Jun Sakuma, Isao Ono, Shigenobu Kobayashi |
| 2006 | GECCO | Hybridization of genetic algorithm and local search in multiobjective function optimization: recommendation of GA then LS. | Ken Harada, Kokolo Ikeda, Shigenobu Kobayashi |
| 2006 | GECCO | Local search for multiobjective function optimization: pareto descent method. | Ken Harada, Jun Sakuma, Shigenobu Kobayashi |
| 2006 | SMC | An Evolutionary Algorithm for Optimizing Functions with UV Structures. | Hiroshi Takeichi, Isao Ono, Jun Sakuma, Shigenobu Kobayashi |
| 2005 | CEC | Sample based crowding method for multimodal optimization in continuous domain. | Shin Ando, Einoshin Suzuki, Shigenobu Kobayashi |
| 2005 | GECCO | Fitness-based neighbor selection for multimodal function optimization. | Shin Ando, Shigenobu Kobayashi |
| 2005 | GECCO | Adaptive isolation model using data clustering for multimodal function optimization. | Shin Ando, Jun Sakuma, Shigenobu Kobayashi |
| 2005 | GECCO | Real-coded crossover as a role of kernel density estimation. | Jun Sakuma, Shigenobu Kobayashi |
| 2005 | GECCO | Latent variable crossover for k-tablet structures and its application to lens design problems. | Jun Sakuma, Shigenobu Kobayashi |
| 2004 | CEC | An angular distance dependent alternation model for real-coded genetic algorithms. | Osamu Takahashi, Shigenobu Kobayashi |
| 2003 | CEC | Independent constraint satisfaction and its application to sewerage system control. | Kokolo Ikeda, Akihiro Nagaiwa, Kei Aoki, Shigenobu Kobayashi |
| 2003 | SMC | Fusion of soft computing and hard computing for large-scale plants: an overview. | Akimoto Kamiya, Rajkumar Roy, Seppo J. Ovaska, Shigenobu Kobayashi |
| 2002 | GECCO | k-tablet Structures and Crossover on Latent Variables for Real-Coded GA. | Jun Sakuma, Shigenobu Kobayashi |
| 2002 | PPSN | Deterministic Multi-step Crossover Fusion: A Handy Crossover Composition for GAs. | Kokolo Ikeda, Shigenobu Kobayashi |
| 2001 | CEC | Failure of Pareto-based MOEAs: does non-dominated really mean near to optimal? | Kokolo Ikeda, Hajime Kita, Shigenobu Kobayashi |
| 2001 | CEC | Extrapolation-directed crossover for real-coded GA: overcoming deceptive phenomena by extrapolative search. | Jun Sakuma, Shigenobu Kobayashi |
| 2001 | ICML | Average-Reward Reinforcement Learning for Variance Penalized Markov Decision Problems. | Makoto Sato, Shigenobu Kobayashi |
| 2001 | SMC | An adaptive neighboring search using crossover-like mutation for multi modal function optimization. | Osamu Takahashi, Shigenobu Kobayashi |
| 2000 | GECCO | Extrapolation-Directed Crossover for Job-shop Scheduling Problems: Complementary Combination with JOX. | Jun Sakuma, Shigenobu Kobayashi |
| 2000 | GECCO | A Real-Coded Genetic Algorithm using Distance Dependent Alternation Model for Complex Function Optimization. | Osamu Takahashi, Hajime Kita, Shigenobu Kobayashi |
| 2000 | ICML | A Universal Generalization for Temporal-Difference Learning Using Haar Basis Functions. | Susumu Katayama, Hajime Kimura, Shigenobu Kobayashi |
| 2000 | IDEAL | Variance-Penalized Reinforcement Learning for Risk-Averse Asset Allocation. | Makoto Sato, Shigenobu Kobayashi |
| 2000 | PPSN | GA Based on the UV-Structure Hypothesis and Its Application to JSP. | Kokolo Ikeda, Shigenobu Kobayashi |
| 2000 | SMC | Reinforcement learning for penalty avoiding policy making. | Kazuteru Miyazaki, Shigenobu Kobayashi |
| 1999 | CEC | Multi-parental extension of the unimodal normal distribution crossover for real-coded genetic algorithms. | Hajime Kita, Isao Ono, Shigenobu Kobayashi |
| 1999 | ICML | Efficient Non-Linear Control by Combining Q-learning with Local Linear Controllers. | Hajime Kimura, Shigenobu Kobayashi |
| 1999 | ISADS | Multi-agent Reinforcement Learning for Crane Control Problem: Designing Rewards for Conflict Resolution. | Sachiyo Arai, Kazuteru Miyazaki, Shigenobu Kobayashi |
| 1999 | PRICAI | Rationality of Reward Sharing in Multi-agent Reinforcement Learning. | Kazuteru Miyazaki, Shigenobu Kobayashi |
| 1998 | ICML | An Analysis of Actor/Critic Algorithms Using Eligibility Traces: Reinforcement Learning with Imperfect Value Function. | Hajime Kimura, Shigenobu Kobayashi |
| 1997 | ICML | Reinforcement Learning in POMDPs with Function Approximation. | Hajime Kimura, Kazuteru Miyazaki, Shigenobu Kobayashi |
| 1996 | ICEC | A Genetic Algorithm for Job-Shop Scheduling Problems Using Job-Based Order Crossover. | Isao Ono, Masayuki Yamamura, Shigenobu Kobayashi |
| 1996 | ICEC | Multi-Objective Optimization by Genetic Algorithms: A Review. | Hisashi Tamaki, Hajime Kita, Shigenobu Kobayashi |
| 1996 | ICEC | Emergent Search on Double Circle TSPs Using Subgour Exchange Crossover. | Masayuki Yamamura, Isao Ono, Shigenobu Kobayashi |
| 1995 | ICML | Reinforcement Learning by Stochastic Hill Climbing on Discounted Reward. | Hajime Kimura, Masayuki Yamamura, Shigenobu Kobayashi |
| 1994 | ICEC | An Analysis of Crossover's Effect in Genetic Algorithms. | Masayuki Yamamura, Hiroshi Satoh, Shigenobu Kobayashi |
| 1991 | IJCAI | An Augmented EBL and its Application to the Utility Problem. | Masayuki Yamamura, Shigenobu Kobayashi |
| 1991 | IJCAI | Case-Based Reasoning for Action Planning by Representing Situations at the Abstract Layers. | Toshihiko Yokogawa, Takefumi Sakurai, Akira Nukuzuma, Tomohiro Takagi, Shigenobu Kobayashi |