A hybrid PSO with EM for global optimisation
by Ye Tian, Dayou Liu, Xin Ma, Changsheng Zhang
International Journal of Modelling, Identification and Control (IJMIC), Vol. 8, No. 4, 2009

Abstract: Heuristic optimisation provides a robust and efficient approach for solving complex real-world problems. The focus of this research is on a hybrid method combining two heuristic optimisation techniques, particle swarm optimisation (PSO) and electromagnetism-like (EM) mechanism, called PSO-EM, for the global optimisation of functions. This hybrid technique incorporates concepts of PSO and EM and creates individuals in a new generation not only by features of PSO, but also by attraction-repulsion mechanism of EM. A numerical study is carried out using a set of 13 test problems, some of which are inspired by practical applications. Results show that the new algorithm is much more robust and efficient than some existing PSO algorithms.

Online publication date: Wed, 09-Dec-2009

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