Abstract
This paper presents a new hybrid global optimization algorithm PSODE combining particle swarm optimization (PSO) with differential evolution (DE). PSODE is a type of parallel algorithm, in which PSO and DE are executed in parallel to enhance the population with frequent information sharing. To demonstrate the effectiveness of the proposed algorithm, four benchmark functions are performed, and the performance of the proposed algorithm is compared to PSO and DE to demonstrate its superiority.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Eberchart, R.C., Kennedy, J.: A New Optimizer Using Particle Swarm Theory. In: 6th IEEE international symposium on Micromachine and Human Science, pp. 39–43. IEEE Press, Piscataway (1995)
Kennedy, J., Eberhart, R.C.: Particle Swarm Optimization. In: Proceeding of IEEE International Conference on Neural Networks, pp. 1942–1948. IEEE Press, Piscataway (1995)
Kennedy, J., Eberhart, R.C., Shi, Y.: Swarm Intelligence. Morgan Kaufmann Publishers, San Francisco (2001)
Kenneth, V.: Price, An Introduction to Differential Evolution. In: Corne, D., Dorigo, M., Glover, F. (eds.) New Ideas in Optimization, pp. 79–108. McGraw-Hill, London (1999)
Zhang, W.J., Xie, X.F.: DEPSO: Hybrid Particle Swarm with Differential Evolution Operator. In: Proc. of the IEEE International Conference on Systems, Man and Cybernetics, pp. 3816–3821. IEEE Press, Washington (2003)
Hendtlass, T.: A Combined Swarm Differential Evolution Algorithm for Optimization Problems. In: Monostori, L., Váncza, J., Ali, M. (eds.) IEA/AIE 2001. LNCS (LNAI), vol. 2070, pp. 11–18. Springer, Heidelberg (2001)
Shi, Y., Ebrehart, R.C.: A Modified Particle Swarm Optimizer. In: Proceeding of the 1998 IEEE International Conference on Evolutionary Computation, pp. 69–73. IEEE Press, Piscataway (1998)
Niu, B., Zhu, Y.L., He, X.X., Wu, H.: MCPSO: A Multi-Swarm Cooperative Particle Swarm Optimizer. Applied Mathematics and Computation 185, 1050–1062 (2007)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Niu, B., Li, L. (2008). A Novel PSO-DE-Based Hybrid Algorithm for Global Optimization. In: Huang, DS., Wunsch, D.C., Levine, D.S., Jo, KH. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2008. Lecture Notes in Computer Science(), vol 5227. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85984-0_20
Download citation
DOI: https://doi.org/10.1007/978-3-540-85984-0_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85983-3
Online ISBN: 978-3-540-85984-0
eBook Packages: Computer ScienceComputer Science (R0)