Analytical Methods to Separately Evaluate Convergence and Diversity for Multi-objective Optimization. - Takato Kinoshita; Naoki Masuyama; Yusuke Nojima; Hisao Ishibuchi (MIC, 2022)

Search Process Analysis of Multiobjective Evolutionary Algorithms using Convergence-Diversity Diagram. - Takato Kinoshita; Naoki Masuyama; Yusuke Nojima (SCIS/ISIS, 2022)

Reference Vector Adaptation and Mating Selection Strategy via Adaptive Resonance Theory-Based Clustering for Many-Objective Optimization. - Takato Kinoshita; Naoki Masuyama; Yiping Liu; Yusuke Nojima; Hisao Ishibuchi (IEEE Access, 2023)

A Federated Data-driven Multiobjective Evolutionary Algorithm via Continual Learnable Clustering. - Takato Kinoshita; Naoki Masuyama; Yusuke Nojima (CEC, 2024)