Abstract
An algorithm that is a combination of the particle swarm and differential evolution algorithms is introduced. The results of testing this on a graduated set of trial problems is given. It is shown that the combined algorithm out performs both of the component algorithms under most conditions, in both absolute and computational load weighted terms.
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.
Similar content being viewed by others
References
Copland and Hendtlass 1998. An Evolutionary Algorithm with a Genetic Encoding Scheme. Copland, H. C. and Hendtlass, T. Lecture Notes in Artificial Intelligence Vol. 1415 pp.632–639 Springer-Verlag Berlin. ISBN 3-540-64582-9
De Jong 1975. Analysis of the Behavior of a Class of Genetic Adaptive Systems. De Jong, K. A. Ph.D. Dissertation, Department of Computer and Communication Sciences, University of Michigan, Ann Arbor, MI, USA.
Eberhart et al 1996. Eberhart. R. C., Dobbins, P., Simpson, P. Computational Intelligence PC Tools, Academic Press, Boston.
Holland 1975. Adaption in Natural and Artificial Systems. Holland J. H. University of Michigan Press, Ann Arbor 1975.
Kennedy and Eberhart 1995. Particle Swarm Optimization. Kennedy, J and Eberhart. R. C, Proc. IEEE International Conference on Neural Networks, Perth Australia, IEEE Service Centre, Piscataway NJ USA IV:1942–1948
Kennedy and Eberhart 1999. The Particle Swarm: Social Adaptation in Information-Processing Systems. Chapter 25 in New Ideas in Optimization. David Corne, Marco Dorigo and Fred Glover Editors, McGraw-Hill Publishing Company, England 1999. ISBN 007 709506 5
Price, Kenneth. 1999. An Introduction to Differential Evolution Chapter 6 in New Ideas in Optimization. David Corne, Marco Dorigo and Fred Glover Editors, McGraw-Hill Publishing Company, England 1999. ISBN 007 709506 5
Storn, Rainer and Price, Kenneth 1996. Minimizing the real functions of the ICEC’96 contest by Differential Evolution. IEEE International Conference on Evolutionary Computation, Japan pp.842–844. IEEE press, New York 1996.
Storn, Rainer and Price, Kenneth (1997). Differential Evolution-a Simple and Efficient Heuristic for Global Optimization over Continuous Spaces. Journal of Global Optimization, 11(4) pp.341–359, December 1997. Kluwer Academic Publishers.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hendtlass, T. (2001). A Combined Swarm Differential Evolution Algorithm for Optimization Problems. In: Monostori, L., Váncza, J., Ali, M. (eds) Engineering of Intelligent Systems. IEA/AIE 2001. Lecture Notes in Computer Science(), vol 2070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45517-5_2
Download citation
DOI: https://doi.org/10.1007/3-540-45517-5_2
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-42219-8
Online ISBN: 978-3-540-45517-2
eBook Packages: Springer Book Archive