Title :
Memetic-CLA-PSO: A Hybrid Model for Optimization
Author :
Akhtari, Mojdeh ; Meybodi, Mohammad Reza
Author_Institution :
IT & Comput. Sci. Dept., Azad Islamic Univ. of Qazvin, Qazvin, Iran
fDate :
March 30 2011-April 1 2011
Abstract :
In this paper a hybrid model which is a combination of Memetic algorithm, cellular learning automata (CLA) and PSO is proposed. The proposed algorithm in addition to maintaining diversity; largely reduces the probability of getting trap in local optima. Experimental results on eight optimization problems show the superiority of the proposed algorithm.
Keywords :
cellular automata; learning automata; particle swarm optimisation; PSO; cellular learning automata; memetic algorithm; optimization problem; Computational modeling; Convergence; Learning automata; Memetics; Optimization; Particle swarm optimization; Search problems;
Conference_Titel :
Computer Modelling and Simulation (UKSim), 2011 UkSim 13th International Conference on
Conference_Location :
Cambridge
Print_ISBN :
978-1-61284-705-4
Electronic_ISBN :
978-0-7695-4376-5
DOI :
10.1109/UKSIM.2011.14
