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Coordinating metaheuristic agents with swarm intelligence

Research Output: Contribution to journal Article Peer-review

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.

Publication Information

Output type

Research Output: Contribution to journal Article Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 991-999

Journal (Volume, Issue Number)

Journal of Intelligent Manufacturing (Volume 23, Issue 4)

Publication milestones

  • Published - 01/07/2010

Publication status

Published - 01/07/2010

ISSN

0956-5515

External Publication IDs

  • handle.net: 10547/225293
  • Scopus: 84865225952

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