Metaheuristic agent teams for job shop scheduling problems

Aydin, Mehmet Emin

Abstract

This paper addresses and introduces an overview on various multi-agent architectures applied to teams of metaheuristic agents for job shop scheduling applications, whose developed and examined on distributed problem solving environments. We reported a couple of topologies; ATEAM is a centrally coordinating method, which provides very good results when well-studied, on the other hand, architectures based on peer-to-peer technology provide wider flexibility in implementing various fashions. The experimentation for each targeted topology has revealed more details and attracts more attentions.

• Presentation Conference Type: Conference Paper (published)
• Conference Name: HoloMAS 2007
• Publication Date: Sep 5, 2007
• Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
• Print ISSN: 0302-9743
• Publisher: Springer Verlag
• Peer Reviewed: Peer Reviewed
• Volume: 4659
• Pages: 185-194
• Book Title: Holonic and Multi-Agent Systems for Manufacturing
• ISBN: 9783540744788
• DOI: https://doi.org/10.1007/978-3-540-74481-8_18
• Keywords: multi-agent systems, metaheuristic agents, collective intelligence, job-shop scheduling
• Public URL: https://uwe-repository.worktribe.com/output/1025043
• Publisher URL: http://dx.doi.org/10.1007/978-3-540-74481-8_18
• Additional Information: Title of Conference or Conference Proceedings : HoloMAS Third International Conference on Industrial Applications of Holonic and Multi-Agent Systems