2.50
Hdl Handle:
http://hdl.handle.net/10547/225293
Title:
Coordinating metaheuristic agents with swarm intelligence
Authors:
Aydin, Mehmet Emin ( 0000-0002-4890-5648 )
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.
Affiliation:
University of Bedfordshire
Citation:
Aydin, M. (2010) 'Coordinating metaheuristic agents with swarm intelligence'. Journal of Intelligent Manufacturing 23 (4) pp 991-999
Publisher:
SpringerLink
Journal:
Journal of Intelligent Manufacturing
Issue Date:
Jul-2010
URI:
http://hdl.handle.net/10547/225293
DOI:
10.1007/s10845-010-0435-y
Additional Links:
http://www.springerlink.com/index/10.1007/s10845-010-0435-y
Type:
Animation
Language:
en
ISSN:
0956-5515; 1572-8145
Appears in Collections:
Centre for Research in Distributed Technologies (CREDIT)

Full metadata record

DC FieldValue Language
dc.contributor.authorAydin, Mehmet Eminen_GB
dc.date.accessioned2012-05-22T13:43:15Zen
dc.date.available2012-05-22T13:43:15Zen
dc.date.issued2010-07en
dc.identifier.citationAydin, M. (2010) 'Coordinating metaheuristic agents with swarm intelligence'. Journal of Intelligent Manufacturing 23 (4) pp 991-999en_GB
dc.identifier.issn0956-5515en
dc.identifier.issn1572-8145en
dc.identifier.doi10.1007/s10845-010-0435-yen
dc.identifier.urihttp://hdl.handle.net/10547/225293en
dc.description.abstractCoordination 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.en_GB
dc.language.isoenen
dc.publisherSpringerLinken_GB
dc.relation.urlhttp://www.springerlink.com/index/10.1007/s10845-010-0435-yen_GB
dc.subjectmetaheuristic agentsen_GB
dc.subjectswarm intelligenceen_GB
dc.subjectparticle swarm optimizationen_GB
dc.subjectsimulated annealingen_GB
dc.titleCoordinating metaheuristic agents with swarm intelligenceen
dc.typeAnimationen
dc.contributor.departmentUniversity of Bedfordshireen_GB
dc.identifier.journalJournal of Intelligent Manufacturingen_GB
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