Joint research by our laboratory and the Harada Laboratory at Saitama University has been accepted for presentation at the international conference WCCI 2026 (IEEE World Congress on Computational Intelligence). WCCI is a joint event comprising three international conferences organised by IEEE (CEC, IJCNN, and FUZZ-IEEE), which are leading international conferences in evolutionary computation, neural networks, and fuzzy systems, respectively.

The presentation addresses the issue of the high computational time required for Multi-Objective Multi-Agent Path Finding (MOMAPF), an extension of Multi-Agent Path Finding (MAPF), which is also used in warehouse robots, to multi-objective optimisation. It proposes an approach using the evolutionary multi-objective optimisation method NSGA-II. Details are provided below. If you are interested and will be attending the conference, we would be pleased to have you join the session.

Presentation title: Multi-Objective Multi-Agent Path Finding Based on Two-Stage Evolutionary Algorithms
Authors: Haruto Ando, Yoshiki Nogata, Tomohiro Harada, and Fumito Uwano
Presentation time: 12:10PM-12:30PM June 22nd, 2026
Venue: Maastricht Exhibition and Congress Centre (MECC), Maastricht, The Netherlands
Conference name: IEEE Congress on Evolutionary Computation (IEEE CEC)