28 September 2026, 13:00
Vilnius, Akademijos St. 4, Room 203
Online via MS Teams (https://bit.ly/DMSTI_2026-09-28)
Sathuta Piripun Sellapperuma
(Global Optimization Group)
„Multi-Agent System for Facility Location“
Abstract. This research aimed at agent learning logic which is used in a Multi-Agent System (MAS) for facility location problems under uncertainty of customer behavior. Agents of the MAS represent different customer behavior models and use agent learning logic to generate promising solutions to the problem. Agents are collaboratively used to determine a set of non-dominated solutions that offer trade-offs across different customer behavior models.