Hybrid Bi-criterion evolutionary algorithm for permutation flow shop scheduling problem

Xin Wei, Cheng Xia Sun, Shigeru Fujimura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

There are a lot of achievements of researches on the permutation flow shop scheduling problem since 1970s. A lot of researches focuses on single objective of minimizing makespan (total processing time) or maximum tardiness. However, the obtained schedule from single objective usually cannot fully appropriate in practical production environment. Because huge tardiness would need much cost, even if the makespan was reduced. So, the target of this paper is digging out a set of solutions that consider double objectives, minimizing makespan and maximum tardiness in simultaneous, for decision maker. The decision maker can select a schedule from obtained schedule set based on actually market demands and production environment. This paper proposes a multi objective local search procedure which contains double neighborhood structures. Any movement on a schedule based on proposed neighborhood structures simultaneously takes effect on double objectives. These neighborhood structures are not found in any literature research before. The interaction of double neighborhood structures naturally guides search direction. The proposed multi objective local search procedure integrates with famous multi objective evolutionary algorithm, NSGA-II (Non-Dominated Sorting Genetic Algorithm-II). The experiment results show efficient of our proposed method compared with former algorithm even with same number of individual evaluations.

Original languageEnglish
Title of host publication21st International Conference on Production Research
Subtitle of host publicationInnovation in Product and Production, ICPR 2011 - Conference Proceedings
EditorsTobias Krause, Dieter Spath, Rolf Ilg
PublisherFraunhofer-Verlag
ISBN (Electronic)9783839602935
Publication statusPublished - 2011 Jan 1
Event21st International Conference on Production Research: Innovation in Product and Production, ICPR 2011 - Stuttgart, Germany
Duration: 2011 Jul 312011 Aug 4

Publication series

Name21st International Conference on Production Research: Innovation in Product and Production, ICPR 2011 - Conference Proceedings

Other

Other21st International Conference on Production Research: Innovation in Product and Production, ICPR 2011
CountryGermany
CityStuttgart
Period11/7/3111/8/4

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Keywords

  • Bi-criterion
  • Flow shop
  • Makespan
  • Multi objective local search
  • Perturbation
  • Tardiness

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Industrial and Manufacturing Engineering

Cite this

Wei, X., Sun, C. X., & Fujimura, S. (2011). Hybrid Bi-criterion evolutionary algorithm for permutation flow shop scheduling problem. In T. Krause, D. Spath, & R. Ilg (Eds.), 21st International Conference on Production Research: Innovation in Product and Production, ICPR 2011 - Conference Proceedings (21st International Conference on Production Research: Innovation in Product and Production, ICPR 2011 - Conference Proceedings). Fraunhofer-Verlag.