Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume 38, Issue 9, Pages 10787-10793Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2011.01.173
Keywords
Memetic algorithms; Particle swarm optimization; Simulated annealing; Tabu search
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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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