Multiprocessor task scheduling in multistage hybrid flow-shops: an ant colony system approach

Multiprocessor task scheduling in multistage hybrid flow-shops: an ant colony system approach

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Article ID: iaor2007663
Country: United Kingdom
Volume: 44
Issue: 16
Start Page Number: 3161
End Page Number: 3177
Publication Date: Jan 2006
Journal: International Journal of Production Research
Authors: ,
Keywords: ant system, flowshop
Abstract:

The hybrid flowshop scheduling problem (HFSP) has been of continuing interest for researchers and practitioners since its advent. This paper considers the multistage HFSP with multiprocessor tasks, a core topic for numerous industrial applications. A novel ant colony system (ACS) heuristic is proposed to solve the problem. To verify the developed heuristic, computational experiments are conducted on two well-known benchmark problem sets and the results are compared with genetic algorithm (GA) and tabu search (TS) from the relevant literature. Computational results demonstrate that the proposed ACS heuristic outperforms the existing GA and TS algorithms for the current problem. Since the proposed ACS heuristic is comprehensible and effective, this study successfully develops a near-optimal approach which will hopefully encourage practitioners to apply it to real-world problems.

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