| 2026 | GECCO | Effect of Mirrored Orthogonal Sampling for CMA-ES on Multimodal Problems. | Kaito Nakatani, Masahiro Nomura, Isao Ono |
| 2026 | GECCO | S3-LRA-xNES: Step-size and Shape Separated Learning Rate Adaptation for Exponential Natural Evolution Strategy. | Kosuke Ujihara, Masahiro Nomura, Isao Ono |
| 2026 | PPSN | On the Generalization Bounds of Symbolic Regression with Genetic Programming. | Masahiro Nomura, Ryoki Hamano, Isao Ono |
| 2025 | CEC | A Memetic Algorithm based on Variational Autoencoder for Black-Box Discrete Optimization with Epistasis among Parameters. | Aoi Kato, Kenta Kojima, Masahiro Nomura, Isao Ono |
| 2025 | CEC | Multi-start Optimization Method via Scalarization based on Target Point-based Tchebycheff Distance for Multi-objective Optimization. | Kota Nagakane, Masahiro Nomura, Isao Ono |
| 2024 | CEC | A Method for Revealing Implicit Emphasized Criteria for Decision Makers on Social Issues. | Toshio Ito, Shizuko Matsuzoe, Tadashi Iwahashi, Hisatoshi Yamaoka, Miwa Ueki, Kota Nagakane, Hideaki Morozumi, Koki Ikeda, Isao Ono |
| 2024 | CEC | A Reinforcement Learning Method Based on Natural Evolution Strategies. | Koki Kimura, Isao Ono |
| 2024 | CEC | Natural Evolution Strategy for Black-Box Function Optimization with Implicit Constraint. | Masato Nishikubo, Isao Ono |
| 2024 | ICML | RVI-SAC: Average Reward Off-Policy Deep Reinforcement Learning. | Yukinari Hisaki, Isao Ono |
| 2023 | CEC | Sequential Estimation of States and Parameters of Non-Linear State Space Models Taking Account of Ensembles Not Covering True States. | Daigo Yamamoto, Haruki Yoshida, Yoshiki Kobayashi, Isao Ono |
| 2023 | GECCO | Natural Evolution Strategy for Mixed-Integer Black-Box Optimization. | Koki Ikeda, Isao Ono |
| 2023 | GECCO | CMA-ES with Learning Rate Adaptation: Can CMA-ES with Default Population Size Solve Multimodal and Noisy Problems? | Masahiro Nomura, Youhei Akimoto, Isao Ono |
| 2022 | CEC | Fast Moving Natural Evolution Strategy for High-Dimensional Problems. | Masahiro Nomura, Isao Ono |
| 2021 | CEC | Distance-weighted Exponential Natural Evolution Strategy for Implicitly Constrained Black-Box Function Optimization. | Masahiro Nomura, Nobuyuki Sakai, Nobusumi Fukushima, Isao Ono |
| 2021 | CEC | An Evolutionary Algorithm Taking Account of Epistasis among Parameters for Black-Box Discrete Optimization. | Sho Shimazu, Isao Ono |
| 2020 | CEC | Sequential Estimation of States and Parameters of Nonlinear State Space Models Using Particle Filter and Natural Evolution Strategy. | Yoshiki Kobayashi, Isao Ono |
| 2015 | CEC | Particle filter with extrapolation by crossover for nonlinear state estimation. | Taku Sasaki, Isao Ono |
| 2014 | PPSN | Random Partial Neighborhood Search for University Course Timetabling Problem. | Yuichi Nagata, Isao Ono |
| 2013 | CEC | A parallel genetic algorithm with edge assembly crossover for 100, 000-city scale TSPs. | Kazuma Honda, Yuichi Nagata, Isao Ono |
| 2013 | CEC | Extending distance-weighted exponential natural evolution strategy for function optimization in uncertain environments. | Kazuyuki Masutomi, Yuichi Nagata, Isao Ono |
| 2013 | CEC | A new real-coded genetic algorithm for implicit constrained black-box function optimization. | Kento Uemura, Naotoshi Nakashima, Yuichi Nagata, Isao Ono |
| 2013 | ICONIP | Robust Meter Placement against False Data Injection Attacks on Power System State Estimation. | Isamu Watanabe, Kazuyuki Masutomi, Isao Ono |
| 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 | GECCO | Pattern-oriented inverse simulation for agent-based modeling: an analysis of family strategies. | Chao Yang, Setsuya Kurahashi, Isao Ono, Takao Terano |
| 2010 | PPSN | Bidirectional Relation between CMA Evolution Strategies and Natural Evolution Strategies. | Youhei Akimoto, Yuichi Nagata, Isao Ono, 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 |
| 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 | 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 |
| 2006 | CEC | Instance-Based Policy Search using Binomial Distribution Crossover and Iterated Refreshment. | Chikao Tsuchiya, Kokolo Ikeda, Jun Sakuma, Isao Ono, Shigenobu Kobayashi |
| 2006 | SMC | An Evolutionary Algorithm for Optimizing Functions with UV Structures. | Hiroshi Takeichi, Isao Ono, Jun Sakuma, Shigenobu Kobayashi |
| 2005 | CEC | A genetic algorithm taking account of substructures for NMR three-dimensional protein structure determination. | Naotoshi Nakashima, Akimitsu Matsubara, Isao Ono, Norihiko Ono, Shin-ichi Tate |
| 2004 | CEC | An evolutionary algorithm taking account of mutual interactions among substances for inference of genetic networks. | Isao Ono, Yoshiaki Seike, Ryohei Morishita, Norihiko Ono, Masahiko Nakatsui, Masahiro Okamoto |
| 2003 | CEC | A framework of grid-oriented genetic algorithms for large-scale optimization in bioinformatics. | Hiroaki Imade, Ryohei Morishita, Isao Ono, Norihiko Ono, Masahiro Okamoto |
| 2003 | CEC | Finding multiple solutions based on an evolutionary algorithm for inference of genetic networks by S-system. | Ryohei Morishita, Hiroaki Imade, Isao Ono, Norihiko Ono, Masahiro Okamoto |
| 2003 | CEC | A genetic hill climbing method for function optimization using a neighborhood based on interactions among parameters. | Hiroshi Takeichi, Naoaki Mizuguchi, Isao Ono, Norihiko Ono |
| 2002 | CEC | Global optimization of protein 3-dimensional structures in NMR by a genetic algorithm. | Isao Ono, Hiroshi Fujiki, Masaki Ootsuka, Naotoshi Nakashima, Norihiko Ono, Shin-ichi Tate |
| 2002 | GECCO | Application Of Numerical Optimization Technique Based On Real-coded Genetic Algorithm To Inverse Problem In Biochemical Systems. | Takanori Ueda, Nobuto Koga, Isao Ono, Masahiro Okamoto |
| 2000 | CEC | Evolving neural networks in environments with delayed rewards by a real-coded GA using the unimodal normal distribution crossover. | Isao Ono, Miyuki Takahashi, Norihiko Ono |
| 2000 | GECCO | A Genetic Algorithm for Automatically Designing Modular Reinforcement Learning Agents. | Isao Ono, Tetsuo Nijo, Norihiko Ono |
| 1999 | CEC | Multi-parental extension of the unimodal normal distribution crossover for real-coded genetic algorithms. | Hajime Kita, Isao Ono, 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 | Emergent Search on Double Circle TSPs Using Subgour Exchange Crossover. | Masayuki Yamamura, Isao Ono, Shigenobu Kobayashi |