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Naoki Hamada
Person information
- affiliation: KLab Inc., Tokyo, Japan
- affiliation: RIKEN Center for Advanced Intelligence Project, Tokyo, Japan
- affiliation: Fujitsu Laboratories, Kawasaki, Japan
- affiliation (PhD): Tokyo Institute of Technology, Interdisciplinary Graduate School of Science and Engineering, Japan
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2020 – today
- 2024
- [c15]Likun Liu, Ryosuke Ota, Takahiro Yamamoto, Naoki Hamada, Daisuke Sakurai:
Visualization of Multiobjective Multimodal Benchmarking Based on Basin Connectivity. GECCO Companion 2024: 347-350 - 2023
- [c14]Atsushi Takada, Daichi Yamazaki, Yudai Yoshida, Nyamkhuu Ganbat, Takayuki Shimotomai, Naoki Hamada, Likun Liu, Taiga Yamamoto, Daisuke Sakurai:
GenéLive! Generating Rhythm Actions in Love Live! AAAI 2023: 5266-5275 - 2022
- [j2]Naoki Hamada, Shunsuke Ichiki:
Free Disposal Hull Condition to Verify When Efficiency Coincides with Weak Efficiency. J. Optim. Theory Appl. 192(1): 248-270 (2022) - [c13]Ryoji Tanabe, Youhei Akimoto, Ken Kobayashi, Hiroshi Umeki, Shinichi Shirakawa, Naoki Hamada:
A two-phase framework with a bézier simplex-based interpolation method for computationally expensive multi-objective optimization. GECCO 2022: 601-610 - [i10]Atsushi Takada, Daichi Yamazaki, Likun Liu, Yudai Yoshida, Nyamkhuu Ganbat, Takayuki Shimotomai, Taiga Yamamoto, Daisuke Sakurai, Naoki Hamada:
GenéLive! Generating Rhythm Actions in Love Live! CoRR abs/2202.12823 (2022) - [i9]Ryoji Tanabe, Youhei Akimoto, Ken Kobayashi, Hiroshi Umeki, Shinichi Shirakawa, Naoki Hamada:
A Two-phase Framework with a Bézier Simplex-based Interpolation Method for Computationally Expensive Multi-objective Optimization. CoRR abs/2203.15292 (2022) - [i8]Akiyoshi Sannai, Yasunari Hikima, Ken Kobayashi, Akinori Tanaka, Naoki Hamada:
Bézier Flow: a Surface-wise Gradient Descent Method for Multi-objective Optimization. CoRR abs/2205.11099 (2022) - 2021
- [i7]Akinori Tanaka, Akiyoshi Sannai, Ken Kobayashi, Naoki Hamada:
Approximate Bayesian Computation of Bézier Simplices. CoRR abs/2104.04679 (2021) - [i6]Yusuke Mizota, Naoki Hamada, Shunsuke Ichiki:
All unconstrained strongly convex problems are weakly simplicial. CoRR abs/2106.12704 (2021) - [i5]Reiya Hagiwara, Takahiro Yamamoto, Naoki Hamada, Daisuke Sakurai:
Explicitly Multi-Modal Benchmarks for Multi-Objective Optimization. CoRR abs/2110.03196 (2021) - 2020
- [j1]Naoki Hamada, Kenta Hayano, Shunsuke Ichiki, Yutaro Kabata, Hiroshi Teramoto:
Topology of Pareto Sets of Strongly Convex Problems. SIAM J. Optim. 30(3): 2659-2686 (2020) - [c12]Akinori Tanaka, Akiyoshi Sannai, Ken Kobayashi, Naoki Hamada:
Asymptotic Risk of Bézier Simplex Fitting. AAAI 2020: 2416-2424
2010 – 2019
- 2019
- [c11]Ken Kobayashi, Naoki Hamada, Akiyoshi Sannai, Akinori Tanaka, Kenichi Bannai, Masashi Sugiyama:
Bézier Simplex Fitting: Describing Pareto Fronts of Simplicial Problems with Small Samples in Multi-Objective Optimization. AAAI 2019: 2304-2313 - [c10]Yukito Tsunoda, Takahiro Notsu, Yasufumi Sakai, Naoki Hamada, Toshihiko Mori, Teruo Ishihara, Atsuki Inoue:
Neural-network assistance to calculate precise eigenvalue for fitness evaluation of real product design. GECCO (Companion) 2019: 405-406 - [i4]Akinori Tanaka, Akiyoshi Sannai, Ken Kobayashi, Naoki Hamada:
Asymptotic Risk of Bezier Simplex Fitting. CoRR abs/1906.06924 (2019) - 2018
- [c9]Naoki Hamada, Keisuke Goto:
Data-driven analysis of pareto set topology. GECCO 2018: 657-664 - [i3]Naoki Hamada, Keisuke Goto:
Data-Driven Analysis of Pareto Set Topology. CoRR abs/1804.07179 (2018) - 2017
- [c8]Naoki Hamada, Kazuhisa Chiba:
Knee point analysis of many-objective Pareto fronts based on Reeb graph. CEC 2017: 1603-1612 - [c7]Naoki Hamada:
Simple problems: the simplicial gluing structure of pareto sets and pareto fronts. GECCO (Companion) 2017: 315-316 - [i2]Naoki Hamada:
Simple Problems: The Simplicial Gluing Structure of Pareto Sets and Pareto Fronts. CoRR abs/1709.10377 (2017) - 2015
- [c6]Naoki Hamada, Katsumi Homma, Hiroyuki Higuchi, Hideyuki Kikuchi:
Population Synthesis via k-Nearest Neighbor Crossover Kernel. ICDM 2015: 763-768 - [i1]Naoki Hamada, Katsumi Homma, Hiroyuki Higuchi, Hideyuki Kikuchi:
Population Synthesis via k-Nearest Neighbor Crossover Kernel. CoRR abs/1508.06483 (2015) - 2012
- [c5]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
- [c4]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 - [c3]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
- [c2]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
2000 – 2009
- 2008
- [c1]Naoki Hamada, Jun Sakuma, Shigenobu Kobayashi, Isao Ono:
Functional-Specialization Multi-Objective Real-Coded Genetic Algorithm: FS-MOGA. PPSN 2008: 691-701
Coauthor Index
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