A Distribution Control of Weight Vector Set for Multi-objective Evolutionary Algorithms. - Tomoaki Takagi; Keiki Takadama; Hiroyuki Sato 003 (BICT, 2019)

Non-dominated Solution Sampling Using Environmental Selection in EMO algorithms. - Tomoaki Takagi; Keiki Takadama; Hiroyuki Sato 003 (CEC, 2020)

Preliminary study of adaptive grid-based decomposition on many-objective evolutionary optimization. - Kensuke Kano; Tomoaki Takagi; Keiki Takadama; Hiroyuki Sato 003 (GECCO Companion, 2020)

Incremental lattice design of weight vector set. - Tomoaki Takagi; Keiki Takadama; Hiroyuki Sato 003 (GECCO Companion, 2020)

Visual mapping of multi-objective optimization problems and evolutionary algorithms. - Kohei Yamamoto; Tomoaki Takagi; Keiki Takadama; Hiroyuki Sato 003 (GECCO Companion, 2020)

Distance Minimization Problems for Multi-factorial Evolutionary Optimization Benchmarking. - Shio Kawakami; Tomoaki Takagi; Keiki Takadama; Hiroyuki Sato 003 (HIS, 2020)

Increasing Accuracy and Interpretability of High-Dimensional Rules for Learning Classifier System. - Hiroki Shiraishi; Masakazu Tadokoro; Yohei Hayamizu; Yukiko Fukumoto; Hiroyuki Sato 003; Keiki Takadama (CEC, 2021)

Weight Vector Arrangement Using Virtual Objective Vectors in Decomposition-based MOEA. - Tomoaki Takagi; Keiki Takadama; Hiroyuki Sato 003 (CEC, 2021)

Pareto Front Estimation Using Unit Hyperplane. - Tomoaki Takagi; Keiki Takadama; Hiroyuki Sato 003 (EMO, 2021)

Misclassification detection based on conditional VAE for rule evolution in learning classifier system. - Hiroki Shiraishi; Masakazu Tadokoro; Yohei Hayamizu; Yukiko Fukumoto; Hiroyuki Sato 003; Keiki Takadama (GECCO Companion, 2021)

Beta Distribution based XCS Classifier System. - Hiroki Shiraishi; Yohei Havamizu; Hiroyuki Sato 003; Keiki Takadama (CEC, 2022)

Supervised Multi-Objective Optimization Algorithm Using Estimation. - Tomoaki Takagi; Keiki Takadama; Hiroyuki Sato 003 (CEC, 2022)

XCSR with VAE using Gaussian Distribution Matching: From Point to Area Matching in Latent Space for Less-overlapped Rule Generation in Observation Space. - Naoya Yatsu; Hiroki Shiraishi; Hiroyuki Sato 003; Keiki Takadama (CEC, 2022)

Inheritance vs. Expansion: Generalization Degree of Nearest Neighbor Rule in Continuous Space as Covering Operator of XCS. - Hiroki Shiraishi; Yohei Hayamizu; Iko Nakari; Hiroyuki Sato 003; Keiki Takadama (EvoApplications, 2022)

Absumption based on overgenerality and condition-clustering based specialization for XCS with continuous-valued inputs. - Hiroki Shiraishi; Yohei Hayamizu; Hiroyuki Sato 003; Keiki Takadama (GECCO, 2022)

Can the same rule representation change its matching area?: enhancing representation in XCS for continuous space by probability distribution in multiple dimension. - Hiroki Shiraishi; Yohei Hayamizu; Hiroyuki Sato 003; Keiki Takadama (GECCO, 2022)

Pareto Front Upconvert by Iterative Estimation Modeling and Solution Sampling. - Tomoaki Takagi; Keiki Takadama; Hiroyuki Sato 003 (EMO, 2023)

Pareto Front Upconvert on Multi-objective Building Facility Control Optimization. - Naru Okumura; Tomoaki Takagi; Yoshihiro Ohta; Hiroyuki Sato 003 (GECCO Companion, 2023)

Exploring High-dimensional Rules Indirectly via Latent Space Through a Dimensionality Reduction for XCS. - Naoya Yatsu; Hiroki Shiraishi; Hiroyuki Sato 003; Keiki Takadama (GECCO, 2023)

Directional Pareto Front and Its Estimation to Encourage Multi-Objective Decision-Making. - Tomoaki Takagi; Keiki Takadama; Hiroyuki Sato 003 (IEEE Access, 2023)

Designing Helper Objectives in Multi-Objectivization. - Shoichiro Tanaka; Arnaud Liefooghe; Keiki Takadama; Hiroyuki Sato 003 (CEC, 2024)

Prototype Generation with the sUpervised Classifier System on kNN Matching. - Naoya Yatsu; Hiroki Shiraishi; Hiroyuki Sato 003; Keiki Takadama (CEC, 2024)

Approximating Pareto Local Optimal Solution Networks. - Shoichiro Tanaka; Gabriela Ochoa; Arnaud Liefooghe; Keiki Takadama; Hiroyuki Sato 003 (GECCO, 2024)

Generating High-Dimensional Prototypes with a Classifier System by Evolving in Latent Space. - Naoya Yatsu; Hiroki Shiraishi; Hiroyuki Sato 003; Keiki Takadama (GECCO Companion, 2024)

Adaptive Multi-Population Dynamic Optimization for Multimodal Dynamic Function Optimization. - Shoei Fujita; Ryuki Ishizawa; Hiroyuki Sato 003; Keiki Takadama (GECCO, 2025)