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Isao Ono
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Journal Articles
- 2018
- [j13]Yuichi Nagata, Isao Ono:
A guided local search with iterative ejections of bottleneck operations for the job shop scheduling problem. Comput. Oper. Res. 90: 60-71 (2018) - 2016
- [j12]Chao Yang, Bin Jiang, Isao Ono, Setsuya Kurahashi
, Takao Terano:
A grid based simulation environment for agent-based models with vast parameter spaces. Clust. Comput. 19(1): 183-195 (2016) - [j11]Kento Uemura, Isao Ono:
AEGA: A New Real-Coded Genetic AlgorithmTaking Account of Extrapolation. J. Adv. Comput. Intell. Intell. Informatics 20(3): 429-437 (2016) - [j10]Yasunori Isozaki, Shinya Yoshizawa
Detection of Cyber Attacks Against Voltage Control in Distribution Power Grids With PVs. IEEE Trans. Smart Grid 7(4): 1824-1835 (2016) - 2015
- [j9]Asako Komori, Yukihiro Maki, Isao Ono, Masahiro Okamoto:
Investigating noise tolerance in an efficient engine for inferring biological regulatory networks. J. Bioinform. Comput. Biol. 13(3): 1541006:1-1541006:16 (2015) - 2013
- [j8]Kazuyuki Masutomi, Yuichi Nagata, Isao Ono:
An Evolutionary Algorithm for Black-Box Chance-Constrained Function Optimization. J. Adv. Comput. Intell. Intell. Informatics 17(2): 272-282 (2013) - 2012
- [j7]Chao Yang, Setsuya Kurahashi
Pattern-Oriented Inverse Simulation for Analyzing Social Problems: Family Strategies in Civil Service Examination in Imperial China. Adv. Complex Syst. 15(7) (2012) - [j6]Youhei Akimoto
Theoretical Foundation for CMA-ES from Information Geometry Perspective. Algorithmica 64(4): 698-716 (2012) - [j5]Ikki Fujiwara
Combinatorial Auction-Based Marketplace Mechanism for Cloud Service Reservation. IEICE Trans. Inf. Syst. 95-D(1): 192-204 (2012) - 2009
- [j4]Chao Yang, Setsuya Kurahashi, Keiko Kurahashi, Isao Ono, Takao Terano:
Agent-Based Simulation on Women's Role in a Family Line on Civil Service Examination in Chinese History. J. Artif. Soc. Soc. Simul. 12(2) (2009) - 2004
- [j3]Hiroaki Imade, Ryohei Morishita, Isao Ono, Norihiko Ono, Masahiro Okamoto:
A Grid-Oriented Genetic Algorithm Framework for Bioinformatics. New Gener. Comput. 22(2): 177-186 (2004) - 2002
- [j2]Akimoto Kamiya, Kensuke 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): 316-331 (2002) - 1999
- [j1]Akimoto Kamiya, Kensuke Kawai, Isao Ono, Shigenobu Kobayashi:
Adaptive-edge search for power plant start-up scheduling. IEEE Trans. Syst. Man Cybern. Part C 29(4): 518-530 (1999)
Conference and Workshop Papers
- 2024
- [c64]Toshio Ito, Shizuko Matsuzoe, Tadashi Iwahashi, Hisatoshi Yamaoka, Miwa Ueki, Kota Nagakane, Hideaki Morozumi, Koki Ikeda, Isao Ono:
A Method for Revealing Implicit Emphasized Criteria for Decision Makers on Social Issues. CEC 2024: 1-9 - [c63]Koki Kimura, Isao Ono:
A Reinforcement Learning Method Based on Natural Evolution Strategies. CEC 2024: 1-8 - [c62]Masato Nishikubo, Isao Ono:
Natural Evolution Strategy for Black-Box Function Optimization with Implicit Constraint. CEC 2024: 1-8 - [c61]Yukinari Hisaki, Isao Ono:
RVI-SAC: Average Reward Off-Policy Deep Reinforcement Learning. ICML 2024 - 2023
- [c60]Daigo Yamamoto, Haruki Yoshida, Yoshiki Kobayashi, Isao Ono:
Sequential Estimation of States and Parameters of Non-Linear State Space Models Taking Account of Ensembles Not Covering True States. CEC 2023: 1-8 - [c59]Koki Ikeda
Natural Evolution Strategy for Mixed-Integer Black-Box Optimization. GECCO 2023: 831-838 - [c58]Masahiro Nomura
CMA-ES with Learning Rate Adaptation: Can CMA-ES with Default Population Size Solve Multimodal and Noisy Problems? GECCO 2023: 839-847 - 2022
- [c57]Masahiro Nomura, Isao Ono:
Fast Moving Natural Evolution Strategy for High-Dimensional Problems. CEC 2022: 1-8 - [c56]Masahiro Nomura, Isao Ono:
Towards a Principled Learning Rate Adaptation for Natural Evolution Strategies. EvoApplications 2022: 721-737 - 2021
- [c55]Sho Shimazu, Isao Ono:
An Evolutionary Algorithm Taking Account of Epistasis among Parameters for Black-Box Discrete Optimization. CEC 2021: 383-390 - [c54]Masahiro Nomura, Nobuyuki Sakai, Nobusumi Fukushima, Isao Ono:
Distance-weighted Exponential Natural Evolution Strategy for Implicitly Constrained Black-Box Function Optimization. CEC 2021: 1099-1106 - [c53]Masahiro Nomura, Isao Ono:
Natural Evolution Strategy for Unconstrained and Implicitly Constrained Problems with Ridge Structure. SSCI 2021: 1-7 - 2020
- [c52]Yoshiki Kobayashi, Isao Ono:
Sequential Estimation of States and Parameters of Nonlinear State Space Models Using Particle Filter and Natural Evolution Strategy. CEC 2020: 1-8 - 2019
- [c51]Mizuki Onogawa, Shinya Yoshizawa
Enhancing Security for Voltage Control of Distribution Systems Under Data Falsification Attacks. ACC 2019: 3249-3254 - 2015
- [c50]Taku Sasaki, Isao Ono:
Particle filter with extrapolation by crossover for nonlinear state estimation. CEC 2015: 2540-2547 - 2014
- [c49]Chao Yang, Isao Ono, Setsuya Kurahashi
A Grid Based Simulation Environment for Parallel Exploring Agent-Based Models with Vast Parameter Space. HCC 2014: 534-548 - [c48]Yuichi Nagata, Isao Ono:
Random Partial Neighborhood Search for University Course Timetabling Problem. PPSN 2014: 782-791 - [c47]Yasunori Isozaki, Shinya Yoshizawa
On detection of cyber attacks against voltage control in distribution power grids. SmartGridComm 2014: 842-847 - 2013
- [c46]Kazuma Honda, Yuichi Nagata, Isao Ono:
A parallel genetic algorithm with edge assembly crossover for 100, 000-city scale TSPs. IEEE Congress on Evolutionary Computation 2013: 1278-1285 - [c45]Kazuyuki Masutomi, Yuichi Nagata, Isao Ono:
Extending distance-weighted exponential natural evolution strategy for function optimization in uncertain environments. IEEE Congress on Evolutionary Computation 2013: 2122-2129 - [c44]Kento Uemura, Naotoshi Nakashima, Yuichi Nagata, Isao Ono:
A new real-coded genetic algorithm for implicit constrained black-box function optimization. IEEE Congress on Evolutionary Computation 2013: 2887-2894 - [c43]Yuichi Nagata, Isao Ono:
High-Order Sequence Entropies for Measuring Population Diversity in the Traveling Salesman Problem. EvoCOP 2013: 179-190 - [c42]Isamu Watanabe, Kazuyuki Masutomi, Isao Ono:
Robust Meter Placement against False Data Injection Attacks on Power System State Estimation. ICONIP (1) 2013: 569-576 - 2012
- [c41]Ryo Miyazaki, Naoki Hamada, Yuichi Nagata, Isao Ono:
A new Pareto frontier covering strategy in FS-MOGA for multi-objective function optimization. SCIS&ISIS 2012: 1888-1893 - 2011
- [c40]Nobusumi Fukushima, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono:
Proposal of distance-weighted exponential natural evolution strategies. IEEE Congress on Evolutionary Computation 2011: 164-171 - [c39]Naoki Hamada, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono:
On scalability of Adaptive Weighted Aggregation for multiobjective function optimization. IEEE Congress on Evolutionary Computation 2011: 669-678 - [c38]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: 2091-2098 - [c37]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: 2375-2382 - 2010
- [c36]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: 1-8 - [c35]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: 1-8 - [c34]Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi:
Theoretical analysis of evolutionary computation on continuously differentiable functions. GECCO 2010: 1401-1408 - [c33]Chao Yang, Setsuya Kurahashi
Pattern-oriented inverse simulation for agent-based modeling: an analysis of family strategies. GECCO (Companion) 2010: 1801-1808 - [c32]Atsushi Miyamae, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi:
Natural Policy Gradient Methods with Parameter-based Exploration for Control Tasks. NIPS 2010: 1660-1668 - [c31]Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi:
Bidirectional Relation between CMA Evolution Strategies and Natural Evolution Strategies. PPSN (1) 2010: 154-163 - [c30]Ikki Fujiwara
Applying Double-Sided Combinational Auctions to Resource Allocation in Cloud Computing. SAINT 2010: 7-14 - 2009
- [c29]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: 1912-1919 - [c28]Youhei Akimoto, Jun Sakuma, Isao Ono, Shigenobu Kobayashi:
Adaptation of expansion rate for real-coded crossovers. GECCO 2009: 739-746 - [c27]Toru Takahashi, Miki Namatame, Fusako Kusunoki, Isao Ono, Takao Terano:
A Handy Laser Show System for Open Space Entertainment. ICEC 2009: 311-312 - 2008
- [c26]Toru Takahashi, Miki Namatame, Fusako Kusunoki, Isao Ono, Takao Terano:
A Laser Show Device Works in an Open Space for Hearing-Impaired Students. Asia International Conference on Modelling and Simulation 2008: 385-389 - [c25]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: 479-486 - [c24]Naoki Hamada, Jun Sakuma, Shigenobu Kobayashi, Isao Ono:
Functional-Specialization Multi-Objective Real-Coded Genetic Algorithm: FS-MOGA. PPSN 2008: 691-701 - 2007
- [c23]Ken Harada, Jun Sakuma, Isao Ono, Shigenobu Kobayashi:
Constraint-Handling Method for Multi-objective Function Optimization: Pareto Descent Repair Operator. EMO 2007: 156-170 - [c22]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: 813-820 - 2006
- [c21]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: 378-385 - [c20]Hiroshi Takeichi, Isao Ono, Jun Sakuma, Shigenobu Kobayashi:
An Evolutionary Algorithm for Optimizing Functions with UV Structures. SMC 2006: 1296-1303 - 2005
- [c19]Naotoshi Nakashima, Akimitsu Matsubara, Isao Ono, Norihiko Ono, Shin-ichi Tate:
A genetic algorithm taking account of substructures for NMR three-dimensional protein structure determination. Congress on Evolutionary Computation 2005: 1761-1768 - [c18]Chikao Tsuchiya, Jun Sakuma, Isao Ono, Shigenobu Kobayashi:
An Effective Rule Based Policy Representation and its Optimization using Inter Normal Distribution Crossover. WSTST 2005: 400-411 - 2004
- [c17]Isao Ono, Yoshiaki Seike, Ryohei Morishita, Norihiko Ono, Masahiko Nakatsui, Masahiro Okamoto:
An evolutionary algorithm taking account of mutual interactions among substances for inference of genetic networks. IEEE Congress on Evolutionary Computation 2004: 2060-2067 - [c16]Hiroaki Imade, Naoaki Mizuguchi, Isao Ono, Norihiko Ono, Masahiro Okamoto:
"Gridifying" an Evolutionary Algorithm for Inference of Genetic Networks Using the Improved GOGA Framework and Its Performance Evaluation on OBI Grid. LSGRID 2004: 171-186 - 2003
- [c15]Ryohei Morishita, Hiroaki Imade, Isao Ono, Norihiko Ono, Masahiro Okamoto:
Finding multiple solutions based on an evolutionary algorithm for inference of genetic networks by S-system. IEEE Congress on Evolutionary Computation 2003: 615-622 - [c14]Hiroaki Imade, Ryohei Morishita, Isao Ono, Norihiko Ono, Masahiro Okamoto:
A framework of grid-oriented genetic algorithms for large-scale optimization in bioinformatics. IEEE Congress on Evolutionary Computation 2003: 623-630 - [c13]Hiroshi Takeichi, Naoaki Mizuguchi, Isao Ono, Norihiko Ono:
A genetic hill climbing method for function optimization using a neighborhood based on interactions among parameters. IEEE Congress on Evolutionary Computation 2003: 1251-1258 - [c12]Hajime Kita, Hiroshi Sato, Naoki Mori, Isao Ono:
U-Mart system, software for open experiments of artificial market. CIRA 2003: 1328-1333 - 2002
- [c11]Isao Ono, Hiroshi Fujiki, Masaki Ootsuka, Naotoshi Nakashima, Norihiko Ono, Shin-ichi Tate:
Global optimization of protein 3-dimensional structures in NMR by a genetic algorithm. IEEE Congress on Evolutionary Computation 2002: 303-308 - [c10]Takanori Ueda, Nobuto Koga, Isao Ono, Masahiro Okamoto:
Application Of Numerical Optimization Technique Based On Real-coded Genetic Algorithm To Inverse Problem In Biochemical Systems. GECCO 2002: 701 - 2001
- [c9]Hiroshi Sato, Hiroyuki Matsui, Isao Ono, Hajime Kita, Takao Terano, Hiroshi Deguchi, Yoshinori Shiozawa:
U-Mart Project: Learning Economic Principles from the Bottom by Both Human and Software Agents. JSAI Workshops 2001: 121-131 - 2000
- [c8]Isao Ono, Miyuki Takahashi, Norihiko Ono:
Evolving neural networks in environments with delayed rewards by a real-coded GA using the unimodal normal distribution crossover. CEC 2000: 659-666 - [c7]Isao Ono, Tetsuo Nijo, Norihiko Ono:
A Genetic Algorithm for Automatically Designing Modular Reinforcement Learning Agents. GECCO 2000: 203-210 - 1999
- [c6]Hajime Kita, Isao Ono, Shigenobu Kobayashi:
Multi-parental extension of the unimodal normal distribution crossover for real-coded genetic algorithms. CEC 1999: 1581-1588 - 1997
- [c5]Keiko Takahashi, Isao Ono, Hiroshi Satoh, Shigenobu Kobayashi:
An Efficient Genetic Algorithm for Reachability Problems. HICSS (5) 1997: 89-98 - [c4]Isao Ono, Shigenobu Kobayashi:
A Real Coded Genetic Algorithm for Function Optimization Using Unimodal Normal Distributed Crossover. ICGA 1997: 246-253 - 1996
- [c3]Masayuki Yamamura, Isao Ono, Shigenobu Kobayashi:
Emergent Search on Double Circle TSPs Using Subgour Exchange Crossover. International Conference on Evolutionary Computation 1996: 535-540 - [c2]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: 547-552 - 1995
- [c1]Shigenobu Kobayashi, Isao Ono, Masayuki Yamamura:
An Efficient Genetic Algorithm for Job Shop Scheduling Problems. ICGA 1995: 506-511
Informal and Other Publications
- 2024
- [i8]Masahiro Nomura, Youhei Akimoto, Isao Ono:
CMA-ES with Learning Rate Adaptation. CoRR abs/2401.15876 (2024) - [i7]Yukinari Hisaki, Isao Ono:
RVI-SAC: Average Reward Off-Policy Deep Reinforcement Learning. CoRR abs/2408.01972 (2024) - 2023
- [i6]Masahiro Nomura, Youhei Akimoto, Isao Ono:
CMA-ES with Learning Rate Adaptation: Can CMA-ES with Default Population Size Solve Multimodal and Noisy Problems? CoRR abs/2304.03473 (2023) - [i5]Koki Ikeda, Isao Ono:
Natural Evolution Strategy for Mixed-Integer Black-Box Optimization. CoRR abs/2304.10724 (2023) - 2022
- [i4]Masahiro Nomura, Isao Ono:
Fast Moving Natural Evolution Strategy for High-Dimensional Problems. CoRR abs/2201.11422 (2022) - 2021
- [i3]Masahiro Nomura, Isao Ono:
Natural Evolution Strategy for Unconstrained and Implicitly Constrained Problems with Ridge Structure. CoRR abs/2108.09455 (2021) - [i2]Masahiro Nomura, Isao Ono:
Towards a Principled Learning Rate Adaptation for Natural Evolution Strategies. CoRR abs/2112.10680 (2021) - 2012
- [i1]Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi:
Theoretical foundation for CMA-ES from information geometric perspective. CoRR abs/1206.0730 (2012)
Coauthor Index
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