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

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)

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

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

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 (CEC, 2000)

A Genetic Algorithm for Automatically Designing Modular Reinforcement Learning Agents. - Isao Ono; Tetsuo Nijo; Norihiko Ono (GECCO, 2000)

U-Mart Project: Learning Economic Principles from the Bottom by Both Human and Software Agents. - Hiroshi Sato; Hiroyuki Matsui; Isao Ono; Hajime Kita; Takao Terano; Hiroshi Deguchi; Yoshinori Shiozawa (JSAI Workshops, 2001)

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 (IEEE Congress on Evolutionary Computation, 2002)

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 (GECCO, 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)

A framework of grid-oriented genetic algorithms for large-scale optimization in bioinformatics. - Hiroaki Imade; Ryohei Morishita; Isao Ono; Norihiko Ono; Masahiro Okamoto (IEEE Congress on Evolutionary Computation, 2003)

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 (IEEE Congress on Evolutionary Computation, 2003)

A genetic hill climbing method for function optimization using a neighborhood based on interactions among parameters. - Hiroshi Takeichi; Naoaki Mizuguchi; Isao Ono; Norihiko Ono (IEEE Congress on Evolutionary Computation, 2003)

U-Mart system, software for open experiments of artificial market. - Hajime Kita; Hiroshi Sato; Naoki Mori; Isao Ono (CIRA, 2003)

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 (IEEE Congress on Evolutionary Computation, 2004)

"Gridifying" an Evolutionary Algorithm for Inference of Genetic Networks Using the Improved GOGA Framework and Its Performance Evaluation on OBI Grid. - Hiroaki Imade; Naoaki Mizuguchi; Isao Ono; Norihiko Ono; Masahiro Okamoto (LSGRID, 2004)

A Grid-Oriented Genetic Algorithm Framework for Bioinformatics. - Hiroaki Imade; Ryohei Morishita; Isao Ono; Norihiko Ono; Masahiro Okamoto (New Gener. Comput., 2004)

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 (Congress on Evolutionary Computation, 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)

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)

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 Laser Show Device Works in an Open Space for Hearing-Impaired Students. - Toru Takahashi 003; Miki Namatame; Fusako Kusunoki; Isao Ono; Takao Terano (Asia International Conference on Modelling and Simulation, 2008)

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)

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)

A Handy Laser Show System for Open Space Entertainment. - Toru Takahashi 003; Miki Namatame; Fusako Kusunoki; Isao Ono; Takao Terano (ICEC, 2009)

Agent-Based Simulation on Women's Role in a Family Line on Civil Service Examination in Chinese History. - Chao Yang; Setsuya Kurahashi; Keiko Kurahashi; Isao Ono; Takao Terano (J. Artif. Soc. Soc. Simul., 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)

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

Pattern-oriented inverse simulation for agent-based modeling: an analysis of family strategies. - Chao Yang; Setsuya Kurahashi; Isao Ono; Takao Terano (GECCO (Companion), 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)

Applying Double-Sided Combinational Auctions to Resource Allocation in Cloud Computing. - Ikki Fujiwara; Kento Aida; Isao Ono (SAINT, 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)

A new Pareto frontier covering strategy in FS-MOGA for multi-objective function optimization. - Ryo Miyazaki; Naoki Hamada; Yuichi Nagata; Isao Ono (SCIS&ISIS, 2012)

Pattern-Oriented Inverse Simulation for Analyzing Social Problems: Family Strategies in Civil Service Examination in Imperial China. - Chao Yang; Setsuya Kurahashi; Isao Ono; Takao Terano (Adv. Complex Syst., 2012)

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)

Combinatorial Auction-Based Marketplace Mechanism for Cloud Service Reservation. - Ikki Fujiwara; Kento Aida; Isao Ono (IEICE Trans. Inf. Syst., 2012)

A parallel genetic algorithm with edge assembly crossover for 100, 000-city scale TSPs. - Kazuma Honda; Yuichi Nagata; Isao Ono (IEEE Congress on Evolutionary Computation, 2013)

Extending distance-weighted exponential natural evolution strategy for function optimization in uncertain environments. - Kazuyuki Masutomi; Yuichi Nagata; Isao Ono (IEEE Congress on Evolutionary Computation, 2013)

A new real-coded genetic algorithm for implicit constrained black-box function optimization. - Kento Uemura; Naotoshi Nakashima; Yuichi Nagata; Isao Ono (IEEE Congress on Evolutionary Computation, 2013)

High-Order Sequence Entropies for Measuring Population Diversity in the Traveling Salesman Problem. - Yuichi Nagata; Isao Ono (EvoCOP, 2013)

Robust Meter Placement against False Data Injection Attacks on Power System State Estimation. - Isamu Watanabe; Kazuyuki Masutomi; Isao Ono (ICONIP (1), 2013)

An Evolutionary Algorithm for Black-Box Chance-Constrained Function Optimization. - Kazuyuki Masutomi; Yuichi Nagata; Isao Ono (J. Adv. Comput. Intell. Intell. Informatics, 2013)

A Grid Based Simulation Environment for Parallel Exploring Agent-Based Models with Vast Parameter Space. - Chao Yang 015; Isao Ono; Setsuya Kurahashi; Bin Jiang 006; Takao Terano (HCC, 2014)

Random Partial Neighborhood Search for University Course Timetabling Problem. - Yuichi Nagata; Isao Ono (PPSN, 2014)

On detection of cyber attacks against voltage control in distribution power grids. - Yasunori Isozaki; Shinya Yoshizawa; Yu Fujimoto; Hideaki Ishii; Isao Ono; Takashi Onoda; Yasuhiro Hayashi (SmartGridComm, 2014)

Particle filter with extrapolation by crossover for nonlinear state estimation. - Taku Sasaki; Isao Ono (CEC, 2015)

Investigating noise tolerance in an efficient engine for inferring biological regulatory networks. - Asako Komori; Yukihiro Maki; Isao Ono; Masahiro Okamoto (J. Bioinform. Comput. Biol., 2015)

A grid based simulation environment for agent-based models with vast parameter spaces. - Chao Yang 015; Bin Jiang 006; Isao Ono; Setsuya Kurahashi; Takao Terano (Clust. Comput., 2016)

AEGA: A New Real-Coded Genetic AlgorithmTaking Account of Extrapolation. - Kento Uemura; Isao Ono (J. Adv. Comput. Intell. Intell. Informatics, 2016)

Detection of Cyber Attacks Against Voltage Control in Distribution Power Grids With PVs. - Yasunori Isozaki; Shinya Yoshizawa; Yu Fujimoto; Hideaki Ishii; Isao Ono; Takashi Onoda; Yasuhiro Hayashi (IEEE Trans. Smart Grid, 2016)

A guided local search with iterative ejections of bottleneck operations for the job shop scheduling problem. - Yuichi Nagata; Isao Ono (Comput. Oper. Res., 2018)

Enhancing Security for Voltage Control of Distribution Systems Under Data Falsification Attacks. - Mizuki Onogawa; Shinya Yoshizawa; Yu Fujimoto; Hideaki Ishii; Isao Ono; Takashi Onoda; Yasuhiro Hayashi (ACC, 2019)

Sequential Estimation of States and Parameters of Nonlinear State Space Models Using Particle Filter and Natural Evolution Strategy. - Yoshiki Kobayashi; Isao Ono (CEC, 2020)

Distance-weighted Exponential Natural Evolution Strategy for Implicitly Constrained Black-Box Function Optimization. - Masahiro Nomura; Nobuyuki Sakai; Nobusumi Fukushima; Isao Ono (CEC, 2021)

An Evolutionary Algorithm Taking Account of Epistasis among Parameters for Black-Box Discrete Optimization. - Sho Shimazu; Isao Ono (CEC, 2021)

Natural Evolution Strategy for Unconstrained and Implicitly Constrained Problems with Ridge Structure. - Masahiro Nomura; Isao Ono (SSCI, 2021)

Fast Moving Natural Evolution Strategy for High-Dimensional Problems. - Masahiro Nomura; Isao Ono (CEC, 2022)

Towards a Principled Learning Rate Adaptation for Natural Evolution Strategies. - Masahiro Nomura; Isao Ono (EvoApplications, 2022)

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 (CEC, 2023)

Natural Evolution Strategy for Mixed-Integer Black-Box Optimization. - Koki Ikeda; Isao Ono (GECCO, 2023)

CMA-ES with Learning Rate Adaptation: Can CMA-ES with Default Population Size Solve Multimodal and Noisy Problems? - Masahiro Nomura; Youhei Akimoto; Isao Ono (GECCO, 2023)

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 (CEC, 2024)

A Reinforcement Learning Method Based on Natural Evolution Strategies. - Koki Kimura; Isao Ono (CEC, 2024)

Natural Evolution Strategy for Black-Box Function Optimization with Implicit Constraint. - Masato Nishikubo; Isao Ono (CEC, 2024)

RVI-SAC: Average Reward Off-Policy Deep Reinforcement Learning. - Yukinari Hisaki; Isao Ono (ICML, 2024)

A Memetic Algorithm based on Variational Autoencoder for Black-Box Discrete Optimization with Epistasis among Parameters. - Aoi Kato; Kenta Kojima; Masahiro Nomura; Isao Ono (CEC, 2025)

Multi-start Optimization Method via Scalarization based on Target Point-based Tchebycheff Distance for Multi-objective Optimization. - Kota Nagakane; Masahiro Nomura; Isao Ono (CEC, 2025)

CMA-ES with Learning Rate Adaptation. - Masahiro Nomura; Youhei Akimoto; Isao Ono (ACM Trans. Evol. Learn. Optim., 2025)