Heuristic Particle Swarm Optimization for Batching and Scheduling Flowshop with Sequence-Independent Setup Time

Abstract:

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This paper considers Integration of batching and scheduling with features on batch scheduling such as multi-product facilities, multi-stage, set-up time depending on sequence, limited storage. For this complicated problem, we present a Conjunctive model and Heuristic Particle Swarm Optimization. We proposed Local Search (LS) Strategy to improve the HPSO. Computations show that both methods are efficient. In addition, HPSO are better than CM.

Info:

Periodical:

Edited by:

Han Zhao

Pages:

2504-2507

DOI:

10.4028/www.scientific.net/AMM.130-134.2504

Citation:

Q. Tang and L. X. Tang, "Heuristic Particle Swarm Optimization for Batching and Scheduling Flowshop with Sequence-Independent Setup Time", Applied Mechanics and Materials, Vols. 130-134, pp. 2504-2507, 2012

Online since:

October 2011

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$35.00

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