A Distribution Control of Weight Vector Set for Multi-objective Evolutionary Algorithms. - Tomoaki Takagi; Keiki Takadama; Hiroyuki Sato (BICT, 2019)

Non-dominated Solution Sampling Using Environmental Selection in EMO algorithms. - Tomoaki Takagi; Keiki Takadama; Hiroyuki Sato (CEC, 2020)

Preliminary study of adaptive grid-based decomposition on many-objective evolutionary optimization. - Kensuke Kano; Tomoaki Takagi; Keiki Takadama; Hiroyuki Sato (GECCO Companion, 2020)

Incremental lattice design of weight vector set. - Tomoaki Takagi; Keiki Takadama; Hiroyuki Sato (GECCO Companion, 2020)

Visual mapping of multi-objective optimization problems and evolutionary algorithms. - Kohei Yamamoto; Tomoaki Takagi; Keiki Takadama; Hiroyuki Sato (GECCO Companion, 2020)

Distance Minimization Problems for Multi-factorial Evolutionary Optimization Benchmarking. - Shio Kawakami; Tomoaki Takagi; Keiki Takadama; Hiroyuki Sato (HIS, 2020)

Weight Vector Arrangement Using Virtual Objective Vectors in Decomposition-based MOEA. - Tomoaki Takagi; Keiki Takadama; Hiroyuki Sato (CEC, 2021)

Pareto Front Estimation Using Unit Hyperplane. - Tomoaki Takagi; Keiki Takadama; Hiroyuki Sato (EMO, 2021)

Supervised Multi-Objective Optimization Algorithm Using Estimation. - Tomoaki Takagi; Keiki Takadama; Hiroyuki Sato (CEC, 2022)

Pareto Front Upconvert by Iterative Estimation Modeling and Solution Sampling. - Tomoaki Takagi; Keiki Takadama; Hiroyuki Sato (EMO, 2023)

Pareto Front Upconvert on Multi-objective Building Facility Control Optimization. - Naru Okumura; Tomoaki Takagi; Yoshihiro Ohta; Hiroyuki Sato (GECCO Companion, 2023)

Directional Pareto Front and Its Estimation to Encourage Multi-Objective Decision-Making. - Tomoaki Takagi; Keiki Takadama; Hiroyuki Sato (IEEE Access, 2023)