DocumentCode :
1572769
Title :
Collaboration of heterogenous metaheuristic agents
Author :
Aydin, Mehmet E.
Author_Institution :
Dept. of Comput. Sci. & Technol., Univ. of Bedfordshire, Luton, UK
fYear :
2010
Firstpage :
540
Lastpage :
545
Abstract :
Collaboration of metaheuristic agents remains as a problem, which attracts challenges to overcome in order to manage a better collaboration in problem solving methodologies. Swarm intelligences techniques have been tried as collaborating methods with good records for homogeneous metaheuristic agents. On the other hand, heterogeneous methods also attracts attention of researchers for better performance in problem solving. This paper discusses the performance of particle swarm optimisation algorithms for collaborating metaheuristic agents with consideration of homogeneity in agents.
Keywords :
multi-agent systems; particle swarm optimisation; problem solving; heterogenous metaheuristic agent collaboration; particle swarm optimisation algorithm; problem solving methodology; swarm intelligences technique; Collaboration; Multiagent systems; Particle swarm optimization; Problem-solving; Search problems; Simulated annealing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Information Management (ICDIM), 2010 Fifth International Conference on
Conference_Location :
Thunder Bay, ON
Print_ISBN :
978-1-4244-7572-8
Type :
conf
DOI :
10.1109/ICDIM.2010.5664656
Filename :
5664656
Link To Document :
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