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A Differential Evolution Approach for NTJ-NFSSP with SDSTs and RDs

  • Rong Hu
  • Xianghu Meng
  • Bin Qian
  • Kun Li
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7390)

Abstract

In this paper, an efficient differential evolution approach, namely DE_NTJ, is presented to minimize the number of tardy jobs (NTJ) for the no-wait flow-shop scheduling problem (NFSSP) with sequence-dependent setup times (SDSTs) and release dates (RDs), which is a complex problem and can be abbreviated as NTJ-NFSSP with SDSTs and RDs. To balance the exploration and exploitation abilities of our DE_NTJ, DE-based global search is utilized to obtain the promising regions or solutions over the solution space, and a local search based on the interchange-based neighborhood and problem’s properties is developed to exploit the neighborhoods from these regions. Simulation results based on a set of random instances show the superiority of DE_NTJ in terms of searching quality, efficiency, and robustness.

Keywords

Differential evolution no-wait flow-shop scheduling sequence dependent setup times and release dates number of tardy jobs local search 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Rong Hu
    • 1
  • Xianghu Meng
    • 1
  • Bin Qian
    • 1
  • Kun Li
    • 1
  1. 1.Department of AutomationKunming University of Science and TechnologyKunmingChina

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