Naoki Hamada

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 20

Top Topics

Nearest Neighbor

Interpolation Method

Fitness Evaluation

Top Venues

GECCO (Companion)

Publications

Likun Liu, Ryosuke Ota, Takahiro Yamamoto, Naoki Hamada, Daisuke Sakurai
Visualization of Multiobjective Multimodal Benchmarking Based on Basin Connectivity. GECCO Companion (2024)
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)
Naoki Hamada, Shunsuke Ichiki
Free Disposal Hull Condition to Verify When Efficiency Coincides with Weak Efficiency. J. Optim. Theory Appl. 192 (1) (2022)
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)
Akiyoshi Sannai, Yasunari Hikima, Ken Kobayashi, Akinori Tanaka, Naoki Hamada
Bézier Flow: a Surface-wise Gradient Descent Method for Multi-objective Optimization. CoRR (2022)
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 (2022)
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 (2022)
Akinori Tanaka, Akiyoshi Sannai, Ken Kobayashi, Naoki Hamada
Approximate Bayesian Computation of Bézier Simplices. CoRR (2021)
Yusuke Mizota, Naoki Hamada, Shunsuke Ichiki
All unconstrained strongly convex problems are weakly simplicial. CoRR (2021)
Reiya Hagiwara, Takahiro Yamamoto, Naoki Hamada, Daisuke Sakurai
Explicitly Multi-Modal Benchmarks for Multi-Objective Optimization. CoRR (2021)
Akinori Tanaka, Akiyoshi Sannai, Ken Kobayashi, Naoki Hamada
Asymptotic Risk of Bézier Simplex Fitting. AAAI (2020)
Naoki Hamada, Kenta Hayano, Shunsuke Ichiki, Yutaro Kabata, Hiroshi Teramoto
Topology of Pareto Sets of Strongly Convex Problems. SIAM J. Optim. 30 (3) (2020)
Akinori Tanaka, Akiyoshi Sannai, Ken Kobayashi, Naoki Hamada
Asymptotic Risk of Bezier Simplex Fitting. CoRR (2019)
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)
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)
Naoki Hamada, Keisuke Goto
Data-Driven Analysis of Pareto Set Topology. CoRR (2018)
Naoki Hamada, Keisuke Goto
Data-driven analysis of pareto set topology. GECCO (2018)
Naoki Hamada
Simple problems: the simplicial gluing structure of pareto sets and pareto fronts. GECCO (Companion) (2017)
Naoki Hamada
Simple Problems: The Simplicial Gluing Structure of Pareto Sets and Pareto Fronts. CoRR (2017)
Naoki Hamada, Kazuhisa Chiba
Knee point analysis of many-objective Pareto fronts based on Reeb graph. CEC (2017)
Naoki Hamada, Katsumi Homma, Hiroyuki Higuchi, Hideyuki Kikuchi
Population Synthesis via k-Nearest Neighbor Crossover Kernel. CoRR (2015)
Naoki Hamada, Katsumi Homma, Hiroyuki Higuchi, Hideyuki Kikuchi
Population Synthesis via k-Nearest Neighbor Crossover Kernel. ICDM (2015)
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)
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)
Naoki Hamada, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono
On scalability of Adaptive Weighted Aggregation for multiobjective function optimization. IEEE Congress on Evolutionary Computation (2011)
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)
Naoki Hamada, Jun Sakuma, Shigenobu Kobayashi, Isao Ono
Functional-Specialization Multi-Objective Real-Coded Genetic Algorithm: FS-MOGA. PPSN (2008)