期刊
COMPUTERS & INDUSTRIAL ENGINEERING
卷 54, 期 3, 页码 411-420出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cie.2007.08.003
关键词
flow shop; scheduling; multi-objective; ant colony optimization
Flow shop scheduling problem consists of scheduling given jobs with same order at all machines. The job can be processed on at most one machine; meanwhile one machine can process at most one job. The most common objective for this problem is makespan. However, multi-objective approach for scheduling to reduce the total scheduling cost is important. Hence, in this study, we consider the flow shop scheduling problem with multi-objectives of makespan, total flow time and total machine idle time. Ant colony optimization (ACO) algorithm is proposed to solve this problem which is known as NP-hard type. The proposed algorithm is compared with solution performance obtained by the existing multi-objective heuristics. As a result, computational results show that proposed algorithm is more effective and better than other methods compared. (C) 2007 Elsevier Ltd. All rights reserved.
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