フォロー
Hiroyuki Sato
タイトル
引用先
引用先
Controlling dominance area of solutions and its impact on the performance of MOEAs
H Sato, HE Aguirre, K Tanaka
International conference on evolutionary multi-criterion optimization, 5-20, 2007
3322007
Inverted PBI in MOEA/D and its impact on the search performance on multi and many-objective optimization
H Sato
Proceedings of the 2014 Annual Conference on Genetic and Evolutionary …, 2014
1052014
Self-controlling dominance area of solutions in evolutionary many-objective optimization
H Sato, HE Aguirre, K Tanaka
Asia-Pacific Conference on Simulated Evolution and Learning, 455-465, 2010
662010
Evolutionary many-objective optimization
H Ishibuchi, H Sato
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019
612019
Analysis of inverted PBI and comparison with other scalarizing functions in decomposition based MOEAs
H Sato
Journal of Heuristics 21 (6), 819-849, 2015
532015
Local dominance using polar coordinates to enhance multiobjective evolutionary algorithms
H Sato, HE Aguirre, K Tanaka
Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No …, 2004
482004
Local dominance and local recombination in MOEAs on 0/1 multiobjective knapsack problems
H Sato, HE Aguirre, K Tanaka
European Journal of Operational Research 181 (3), 1708-1723, 2007
382007
Variable space diversity, crossover and mutation in MOEA solving many-objective knapsack problems
H Sato, H Aguirre, K Tanaka
Annals of Mathematics and Artificial Intelligence 68 (4), 197-224, 2013
362013
Pareto partial dominance MOEA and hybrid archiving strategy included CDAS in many-objective optimization
H Sato, HE Aguirre, K Tanaka
IEEE Congress on Evolutionary Computation, 1-8, 2010
302010
Pareto partial dominance MOEA and hybrid archiving strategy included CDAS in many-objective optimization
H Sato, HE Aguirre, K Tanaka
IEEE Congress on Evolutionary Computation, 1-8, 2010
302010
Improved S-CDAs using crossover controlling the number of crossed genes for many-objective optimization
H Sato, H Aguirre, K Tanaka
Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011
262011
Genetic diversity and effective crossover in evolutionary many-objective optimization
H Sato, HE Aguirre, K Tanaka
International Conference on Learning and Intelligent Optimization, 91-105, 2011
262011
Two-stage non-dominated sorting and directed mating for solving problems with multi-objectives and constraints
M Miyakawa, K Takadama, H Sato
Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013
222013
XCSR based on compressed input by deep neural network for high dimensional data
K Matsumoto, R Takano, T Tatsumi, H Sato, T Kovacs, K Takadama
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018
132018
Knowledge extraction from XCSR based on dimensionality reduction and deep generative models
M Tadokoro, S Hasegawa, T Tatsumi, H Sato, K Takadama
2019 IEEE Congress on Evolutionary Computation (CEC), 1883-1890, 2019
112019
Chain-reaction solution update in MOEA/D and its effects on multi-and many-objective optimization
H Sato
Soft Computing 20 (10), 3803-3820, 2016
112016
Recommendation system for sightseeing plan using pattern mining to evaluate time series action
T Fujitsuka, T Harada, H Sato, K Takadama
Proceedings of the Annual Conference on Society of Instrument and Control …, 2014
112014
Effects of MOEA temporally switching Pareto partial dominance on many-objective 0/1 knapsack problems
H Sato, HE Aguirre, T Kiyoshi
Transactions of the Japanese Society for Artificial Intelligence 25, 320-331, 2010
112010
Analysis of NSGA-II and NSGA-II with CDAS, and Proposal of an Enhanced CDAS Mechanism.
K Tsuchida, H Sato, HE Aguirre, K Tanaka
JACIII 13 (4), 470-480, 2009
112009
Controlling dominance area of solutions in multiobjective evolutionary algorithms and performance analysis on multiobjective 0/1 knapsack problems
H Sato, H Aguirre, K Tanaka
IPSJ Digital Courier 3, 703-718, 2007
112007
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