Coordinating metaheuristic agents with swarm intelligence

Aydin, Mehmet Emin

Abstract

Coordination of multi agent systems remains as a problem since there is no prominent method suggests any universal solution. Metaheuristic agents are specific implementations of multi-agent systems, which imposes working together to solve optimisation problems using metaheuristic algorithms. An idea for coordinating metaheuristic agents borrowed from swarm intelligence is introduced in this paper. This swarm intelligence-based coordination framework has been implemented as swarms of simulated annealing agents collaborated with particle swarm optimization for multidimensional knapsack problem. A comparative performance analysis is also reported highlighting that the implementation has produced much better results than the previous works. © 2010 Springer Science+Business Media, LLC.

• Journal Article Type: Article
• Online Publication Date: Jul 24, 2010
• Publication Date: Aug 1, 2012
• Deposit Date: Apr 30, 2021
• Journal: Journal of Intelligent Manufacturing
• Print ISSN: 0956-5515
• Electronic ISSN: 1572-8145
• Publisher: Springer Verlag
• Peer Reviewed: Peer Reviewed
• Volume: 23
• Issue: 4
• Pages: 991-999
• DOI: https://doi.org/10.1007/s10845-010-0435-y
• Public URL: https://uwe-repository.worktribe.com/output/6545435