Coordinating metaheuristic agents with swarm intelligence

Creative Commons License

Aydin M. E.

Journal of Intelligent Manufacturing, cilt.23, sa.4, ss.991-999, 2012 (SCI-Expanded, Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 23 Sayı: 4
  • Basım Tarihi: 2012
  • Doi Numarası: 10.1007/s10845-010-0435-y
  • Dergi Adı: Journal of Intelligent Manufacturing
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.991-999
  • Anahtar Kelimeler: Metaheuristic agents, Particle swarm optimization, Simulated annealing, Swarm intelligence
  • İstanbul Ticaret Üniversitesi Adresli: Hayır

Özet

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.