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International Conference on Intelligent Computing

ICIC 2009: Emerging Intelligent Computing Technology and Applications pp 813–825Cite as

Multiobjective Permutation Flow Shop Scheduling Using a Memetic Algorithm with an NEH-Based Local Search

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Part of the Lecture Notes in Computer Science book series (LNTCS,volume 5754)

Abstract

In this paper we address scheduling of the permutation flow shop with minimization of makespan and total flow time as the objectives. We propose a memetic algorithm (MA) to search for the set of non-dominated solutions (the Pareto optimal solutions). The proposed MA adopts the permutation-based encoding and the fitness assignment mechanism of NSGA-II. The main feature is the introduction of an NEH-based neighborhood function into the local search procedure. We also adjust the size of the neighborhood dynamically during the execution of the MA to strike a balance between exploration and exploitation. Forty public benchmark problem instances are used to compare the performance of our MA with that of twenty-seven existing algorithms. Our MA provides close performance for small-scale instances and much better performance for large-scale instances. It also updates more than 90% of the net set of non-dominated solutions for the large-scale instances.

Keywords

  • Flow shop
  • multiobjective
  • makespan
  • total flow time
  • memetic algorithm
  • evolutionary algorithm

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Author information

Authors and Affiliations

  1. Department of Computer Science and Information Engineering, National Taiwan Normal University, Taipei, Taiwan, R.O.C.

    Tsung-Che Chiang

  2. Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan, R.O.C.

    Hsueh-Chien Cheng & Li-Chen Fu

Authors
  1. Tsung-Che Chiang
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  2. Hsueh-Chien Cheng
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  3. Li-Chen Fu
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Editor information

Editors and Affiliations

  1. Institute of Intelligent Machines, Chinese Academy of Sciences, China

    De-Shuang Huang

  2. Graduate School of Electrical Engineering, University of Ulsan, Korea, San 29, Mugeo-Dong, Nam-Ku, 680 - 749, Ulsan, Korea

    Kang-Hyun Jo

  3. School of Electrical Engineering, University of Ulsan, Ulsan, South Korea

    Hong-Hee Lee

  4. School of Electrical Engineering, University of Ulsan, South Korea

    Hee-Jun Kang

  5. e.B.I.S. s.r.l. (electronic Business in Security), Spin-Off of Polytechnic of Bari, Str. Prov. per Casamassima Km., 3-70010, Valenzano, (BA), Italy

    Vitoantonio Bevilacqua

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Chiang, TC., Cheng, HC., Fu, LC. (2009). Multiobjective Permutation Flow Shop Scheduling Using a Memetic Algorithm with an NEH-Based Local Search. In: Huang, DS., Jo, KH., Lee, HH., Kang, HJ., Bevilacqua, V. (eds) Emerging Intelligent Computing Technology and Applications. ICIC 2009. Lecture Notes in Computer Science, vol 5754. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04070-2_87

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  • DOI: https://doi.org/10.1007/978-3-642-04070-2_87

  • Publisher Name: Springer, Berlin, Heidelberg

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