Journal
JOURNAL OF MANUFACTURING SYSTEMS
Volume 29, Issue 1, Pages 29-34Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.jmsy.2010.06.007
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In this paper, we introduce the fuzzy model of the makespan on a single batch-processing machine with non-identical job sizes. The uncertainty of the jobs and the machine in the processing is denoted using fuzzy logic. Then an improved ant colony optimization (ACO) method is proposed and the Metropolis criterion is used to select the paths of ants to overcome the immature convergence of the algorithm. In the experiment, we adopt the random instances and the results of the fuzzy makespan demonstrate that the proposed algorithm outperforms GA and SA in all instances. (C) 2010 The Society of Manufacturing Engineers. Published by Elsevier Ltd. All rights reserved.
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