Abstract
PSO-2S is a multi-swarm PSO algorithm using charged particles in a partitioned search space for continuous optimization problems. This algorithm uses two kinds of swarms, a main one that gathers the best particles of auxiliary ones. In this paper, we present a new variant of PSO-2S, called DEPSO-2S, which is a hybridization of DE and PSO. DE was used, in this variant, to construct the main swarm. We analyze the performance of the proposed approach on seven real problems. The obtained results show the efficiency of the proposed algorithm.
Keywords
- Particle swarm optimization
- Differential evolution
- Multi-swarm
- Global optimization
- Partitioned search space
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References
El Dor, A., Clerc, M., Siarry, P.: A multi-swarm PSO using charged particles in a partitioned search space for continuous optimization. In: Computational Optimization and Applications, pp. 1–25 (2011)
Conway, J., Sloane, N.: Sphere packings, lattices and groups, 2nd edn. Springer, Heidelberg (1993); 3rd edn. (1999)
Kennedy, J.: A new optimizer using particle swarm theory. In: Proceedings of the Sixth International Symposium on Micro Machine and Human Science, pp. 39–43 (1995)
Lepagnot, J., Nakib, A., Oulhadj, H., Siarry, P.: A new multiagent algorithm for dynamic continuous optimization. International Journal of Applied Metaheuristic Computing 1(1), 16–38 (2010)
Chakraborty, U.K., Konar, A., Das, S.: Differential Evolution with Local Neighborhood. In: Proceedings of the IEEE Congress on Evolutionary Computation, pp. 2042–2049 (2006)
Ali, M., Pant, M., Singh, V.P.: Two Modified Differential Evolution Algorithms and their Applications to Engineering Design Problems. World Journal of Modeling and Simulation 6(1), 72–80 (2010)
Poli, R.: Analysis of the publications on the applications of particle swarm optimisation. Journal of Artificial Evolution and Applications 2008(10), 1–10 (2008)
Storn, R., Price, K.: Differential evolution - A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces. Journal of Global Optimization 11(4), 341–359 (1997)
Thangaraj, R., Pant, M., Abraham, A., Bouvry, P.: Particle swarm optimization: Hybridization perspectives and experimental illustrations. Applied Mathematics and Computation 217(12), 5208–5226 (2011)
Das, S., Abraham, A., Konar, A.: Particle swarm optimization and differential evolution algorithms: technical analysis, applications and hybridization perspectives. SCI, vol. 116, pp. 1–38 (2008)
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© 2012 Springer-Verlag Berlin Heidelberg
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El Dor, A., Clerc, M., Siarry, P. (2012). Hybridization of Differential Evolution and Particle Swarm Optimization in a New Algorithm: DEPSO-2S. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Swarm and Evolutionary Computation. EC SIDE 2012 2012. Lecture Notes in Computer Science, vol 7269. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29353-5_7
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DOI: https://doi.org/10.1007/978-3-642-29353-5_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29352-8
Online ISBN: 978-3-642-29353-5
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