Session Details

[4M1-GS-2a]Machine learning

Thu. Jun 11, 2026 9:00 AM - 10:30 AM JST
Thu. Jun 11, 2026 12:00 AM - 1:30 AM UTC
Room M(Middle room 302A)

[4M1-GS-2a-01]Hybrid Evolutionary Approach for the Multiobjective Patrolling Problem

〇Takeru Yamanaka1, Fumito Kudo1, Muneaki Ohshima2, Masaki Tomisawa1, Hiroaki Tohyama1 (1. Maebashi Institute of Technology, 2. Ikuei Junior College)

[4M1-GS-2a-02]Constrained Preferential Batch Bayesian Optimization

〇Koki Iwai1, Yusuke Kumagae1, Yuki Koyama2, Masahiro Hamasaki2, Masataka Goto2 (1. Hakuhodo DY Holdings Inc., 2. National Institute of Advanced Industrial Science and Technology (AIST))

[4M1-GS-2a-03]A Study on Constructing Regression Models from Preference Weights to the Pareto Front via Optimal Transport

〇Hideyuki Masui1 (1. Mitsubishi Electric Corporation)

[4M1-GS-2a-04]Indistinguishable Subset Discovery using Wasserstein Distance

〇Masataka Ushiku1 (1. Hakuhodo DY Holdings Inc.)

[4M1-GS-2a-05]Level-Set Estimation Based on Observation Noise for Tuning Parameters of Machine Tools

〇Renshi Nagasawa1, Hideyuki Masui1, Koki Nakane1, Yu Inatsu2, Masayuki Karasuyama2 (1. Mitsubishi Electric Corporation, 2. Nagoya Institute of Technology)

[4M1-GS-2a-06]Revisiting the Definition of a Region of Interest in Preference-based Evolutionary Multi-objective Optimization

〇Ryuichi Mogami1, Ryoji Tanabe1 (1. Yokohama National University)