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Lin Wang
Jianhua Qu
Yucheng Jia

Authors and WSEAS

Lin Wang
Jianhua Qu
Yucheng Jia

WSEAS Transactions on Systems and Control

Print ISSN: 1991-8763
E-ISSN: 2224-2856

Volume 12, 2017

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.

Volume 12, 2017

An Immune Particle Swarm Optimization Method for Permutation Flow Shop Scheduling Problem

AUTHORS: Lin Wang, Jianhua Qu, Yucheng Jia

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ABSTRACT: Permutation Flow Shop Scheduling Problem (PFSP) is a complex combinatorial optimization problem with strong engineering background. To solve the PFSP with makespan criterions, an immune particle swarm optimization (IPSO) algorithm was proposed. The initial solution of the algorithm is generated by the famous heuristic NEH algorithm, it was used to initialize the particle of global extreme values. Then we add a Dynamic Disturbance Term (DDT) in the velocity updating formulation of the particle, it used to prevent optimizing course from trapping the local minimum. Density and Immune Selection mechanism of Immune algorithm (IA) are used in the iterative process to select the optimal particle through the choice probability equation. The vaccination and memory operation to guide the global optimization process. At last, computational results show that the IPSO algorithm is effective robust and has a high performance.

KEYWORDS: Permutation Flow Shop Scheduling, Particle Swarm Optimization Algorithm, Immune Algorithm, Makespan


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WSEAS Transactions on Systems and Control, ISSN / E-ISSN: 1991-8763 / 2224-2856, Volume 12, 2017, Art. #14, pp. 139-147

Copyright © 2017 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0

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