期刊
EXPERT SYSTEMS WITH APPLICATIONS
卷 38, 期 9, 页码 10787-10793出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2011.01.173
关键词
Memetic algorithms; Particle swarm optimization; Simulated annealing; Tabu search
Memetic algorithms are hybrid evolutionary algorithms that combine global and local search by using an evolutionary algorithm to perform exploration while the local search method performs exploitation. This paper presents two hybrid heuristic algorithms that combine particle swarm optimization (PSO) with simulated annealing (SA) and tabu search (TS), respectively. The hybrid algorithms were applied on the hybrid flow shop scheduling problem. Experimental results reveal that these memetic techniques can effectively produce improved solutions over conventional methods with faster convergence. (C) 2011 Elsevier Ltd. All rights reserved.
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