M1の阿部、小野村と原田准教授がWCCI2026で発表しました

M1の阿部、小野村と原田准教授が2026 IEEE World Congress on Computational Intelligence (WCCI 2026)で発表しました。

• WCCI2026

発表論文

• Ryota Abe, Tomohiro Harada, “Impact of Surrogate Model Selection and Retraining Interval on Energy Efficiency and Performance in Surrogate-Assisted Evolutionary Algorithms,” the Workshop on Generative and Adaptive Surrogate Models for Evolutionary Algorithms (The GASMEA Workshop) in IEEE World Congress on Computational Intelligence 2026 (IEEE WCCI 2026), pp. 11-16, 2026.
• Koki Onomura, Yuto Araki, Yuhiro Ono, Tomohiro Harada, “Automatic Generation of Multi-Objective Optimization Benchmark Problems via Evolutionary Algorithms and Large Language Models,” IEEE World Congress on Computational Intelligence 2026 (IEEE WCCI 2026), 2026.
• Haruto Ando, Yoshiki Nogata, Tomohiro Harada, Fumito Uwano, “Multi-Objective Multi-Agent Path Finding Based on Two-Stage Evolutionary Algorithms,” IEEE World Congress on Computational Intelligence 2026 (IEEE WCCI 2026), 2026.
• Enrique Alba, Tomohiro Harada, Gabriel Luque, “A Practical Methodology for Surrogates in Optimization,” IEEE World Congress on Computational Intelligence 2026 (IEEE WCCI 2026), 2026.