Teams of autonomous agents for job-shop scheduling problems: An experimental study

Fogarty, Terence C.; Aydin, Mehmet Emin

Abstract

ATeams - teams of autonomous agents co-operating by sharing solutions through a common memory-have been proposed as a means of solving combinatorial optimization problems. In this paper, the ATeam architecture is tested on the job-shop scheduling problem. The results show that the method can work, but that it depends on the portfolio of agents and on the way in which the memory is managed.

• Presentation Conference Type: Conference Paper (published)
• Publication Date: Aug 1, 2004
• Journal: Journal of Intelligent Manufacturing
• Print ISSN: 0956-5515
• Electronic ISSN: 1572-8145
• Publisher: Springer Verlag
• Peer Reviewed: Peer Reviewed
• Volume: 15
• Issue: 4
• Pages: 455-462
• DOI: https://doi.org/10.1023/B%3AJIMS.0000034108.66105.59
• Keywords: multi-agent systems, distributed and parallel computing, simulated annealing, tabu search
• Public URL: https://uwe-repository.worktribe.com/output/1058828
• Publisher URL: http://dx.doi.org/10.1023/B:JIMS.0000034108.66105.59