Abstract
This paper introduces a framework based on multi-agent system for solving problems of combinatorial optimization. The framework allows running various metaheuristic algorithms simultaneously. By the collaboration of various metaheuristics, we can achieve better results in more classes of problems.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Skiena, S.S.: The Algorithm Design Manual. Springer, Heidelberg (1998)
Yang, X.S.: Nature-Inspired Metaheuristic Algorithms. Luniver Press, Frome (2008)
Yagiura, M., Ibaraki, T.: On metaheuristic algorithms for combinatorial optimization problems. Transactions of the Institute of Electronics, Information and Communication Engineers (J83-D-1) 3–25
Wolpert, D.H., Macready, W.G.: No free lunch theorems for optimization. IEEE Transactions on Evolutionary Computation 1, 67–82 (1997)
Burke, E., Kendall, G., Newall, J., Hart, E., Ross, P., Schulenburg, S.: Hyper-heuristics: An emerging direction in modern search technology (2003)
Talbi, E.-G.: A taxonomy of hybrid metaheuristics. Journal of Heuristics 8(5), 541–564 (2002)
Fogel, D.B.: Phenotypes, genotypes, and operators in evolutionary computation, pp. 193–198 (1995)
Back, T., Fogel, D.B., Michalewicz, Z. (eds.): Handbook of Evolutionary Computation. IOP Publishing Ltd., Bristol (1997)
Sislak, D., Rehak, M., Pechoucek, M.: A-globe: Multi-agent platform with advanced simulation and visualization support. Web Intelligence. In: IEEE/WIC/ACM International Conference, pp. 805–806 (2005)
Roli, A., Milano, M.: Magma: A multiagent architecture for metaheuristics. IEEE Trans. on Systems, Man and Cybernetics - Part BÂ 34, 2004 (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Malek, R. (2009). Collaboration of Metaheuristic Algorithms through a Multi-Agent System. In: MaÅ™Ãk, V., Strasser, T., Zoitl, A. (eds) Holonic and Multi-Agent Systems for Manufacturing. HoloMAS 2009. Lecture Notes in Computer Science(), vol 5696. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03668-2_7
Download citation
DOI: https://doi.org/10.1007/978-3-642-03668-2_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03666-8
Online ISBN: 978-3-642-03668-2
eBook Packages: Computer ScienceComputer Science (R0)