フォロー
Naoki Hamada
Naoki Hamada
KLab Inc.
確認したメール アドレス: klab.com - ホームページ
タイトル
引用先
引用先
Bézier simplex fitting: Describing Pareto fronts of simplicial problems with small samples in multi-objective optimization
K Kobayashi, N Hamada, A Sannai, A Tanaka, K Bannai, M Sugiyama
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2304-2313, 2019
162019
Adaptive weighted aggregation: A multiobjective function optimization framework taking account of spread and evenness of approximate solutions
N Hamada, Y Nagata, S Kobayashi, I Ono
IEEE Congress on Evolutionary Computation, 1-8, 2010
152010
Topology of Pareto sets of strongly convex problems
N Hamada, K Hayano, S Ichiki, Y Kabata, H Teramoto
SIAM Journal on Optimization 30 (3), 2659-2686, 2020
132020
On scalability of adaptive weighted aggregation for multiobjective function optimization
N Hamada, Y Nagata, S Kobayashi, I Ono
2011 IEEE Congress of Evolutionary Computation (CEC), 669-678, 2011
102011
Functional-specialization multi-objective real-coded genetic algorithm: FS-MOGA
N Hamada, J Sakuma, S Kobayashi, I Ono
Parallel Problem Solving from Nature–PPSN X: 10th International Conference …, 2008
92008
Knee point analysis of many-objective Pareto fronts based on Reeb graph
N Hamada, K Chiba
2017 IEEE Congress on Evolutionary Computation (CEC), 1603-1612, 2017
82017
Asymptotic risk of Bézier simplex fitting
A Tanaka, A Sannai, K Kobayashi, N Hamada
Proceedings of the AAAI Conference on Artificial Intelligence 34 (03), 2416-2424, 2020
62020
Population synthesis via k-nearest neighbor crossover kernel
N Hamada, K Homma, H Higuchi, H Kikuchi
2015 IEEE International Conference on Data Mining, 763-768, 2015
62015
Data-driven analysis of Pareto set topology
N Hamada, K Goto
Proceedings of the genetic and evolutionary computation conference, 657-664, 2018
52018
被覆度を考慮したマルチスタート法による多目的連続関数最適化: Adaptive Weighted Aggregation
濱田直希, 永田裕一, 小林重信, 小野功
進化計算学会論文誌 3 (2), 31-46, 2012
52012
Adaptive weighted aggregation 2: More scalable AWA for multiobjective function optimization
N Hamada, Y Nagata, S Kobayashi, I Ono
2011 IEEE Congress of Evolutionary Computation (CEC), 2375-2382, 2011
52011
Simpliciality of strongly convex problems
N Hamada, S Ichiki
Journal of the Mathematical Society of Japan 73 (3), 965-982, 2021
42021
A new Pareto frontier covering strategy in FS-MOGA for multi-objective function optimization
R Miyazaki, N Hamada, Y Nagata, I Ono
The 6th International Conference on Soft Computing and Intelligent Systems …, 2012
42012
Simple problems: The simplicial gluing structure of Pareto sets and Pareto fronts
N Hamada
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017
32017
機能分担多目的実数値 GA: FS-MOGA の提案
濱田直希, 田中雅晴, 佐久間淳, 小林重信, 小野功
人工知能学会論文誌 24 (1), 116-126, 2009
32009
多目的連続関数最適化の解法 Adaptive Weighted Aggregation の終了条件に関する一考察
濱田直希, 永田裕一, 小林重信, 小野功
進化計算学会論文誌 4 (1), 13-27, 2013
22013
Adaptive weighted aggregation: A multi‐start framework taking account of the coverage of solutions for continuous multi‐objective optimization
N Hamada
T Jpn Soc Evolut Comput 3 (2), 31, 2012
22012
Proposal of Functional-Specialization Multi-Objective Real-Coded Genetic Algorithm: FS-MOGA
N Hamada, M Tanaka, J Sakuma, S Kobayashi, I Ono
Transactions of the Japanese Society for Artificial Intelligence 24 (1), 116-126, 2009
22009
Topology of Pareto sets of strongly convex problems. preprint, 2019
N Hamada, K Hayano, S Ichiki, Y Kabata, H Teramoto
21904
社会シミュレーションによる経済支援施策の設計 進化計算コンペティション 2021 の結果報告
後藤裕介, 森田裕之, 白井康之, 市川尚, 濱田直希, 原田智広
進化計算学会論文誌 13 (1), 23-39, 2022
12022
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