| 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 | 16 | 2019 |
| 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 | 15 | 2010 |
| 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 | 13 | 2020 |
| 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 | 10 | 2011 |
| 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 | 9 | 2008 |
| 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 | 8 | 2017 |
| 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 | 6 | 2020 |
| 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 | 6 | 2015 |
| Data-driven analysis of Pareto set topology N Hamada, K Goto Proceedings of the genetic and evolutionary computation conference, 657-664, 2018 | 5 | 2018 |
| 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 | 5 | 2012 |
| 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 | 5 | 2011 |
| Simpliciality of strongly convex problems N Hamada, S Ichiki Journal of the Mathematical Society of Japan 73 (3), 965-982, 2021 | 4 | 2021 |
| 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 | 4 | 2012 |
| Simple problems: The simplicial gluing structure of Pareto sets and Pareto fronts N Hamada Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017 | 3 | 2017 |
| 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 | 3 | 2009 |
| 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 | 2 | 2013 |
| 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 | 2 | 2012 |
| 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 | 2 | 2009 |
| Topology of Pareto sets of strongly convex problems. preprint, 2019 N Hamada, K Hayano, S Ichiki, Y Kabata, H Teramoto | 2 | 1904 |
| 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 | 1 | 2022 |
Yuichi NagataFaculty of Science and Technology, Tokushima University在 is.tokushima-u.ac.jp 的电子邮件经过验证
