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A Hybrid Imperialist Competitive Algorithm for the Flexible Job Shop Problem

  • Behrooz GhasemishabankarehEmail author
  • Nasser Shahsavari-Pour
  • Mohammad-Ali Basiri
  • Xiaodong Li
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9592)

Abstract

Flexible job shop scheduling problem (FJSP) is one of the hardest combinatorial optimization problems known to be NP-hard. This paper proposes a novel hybrid imperialist competitive algorithm with simulated annealing (HICASA) for solving the FJSP. HICASA explores the search space by using imperial competitive algorithm (ICA) and use a simulated annealing (SA) algorithm for exploitation in the search space. In order to obtain reliable results from HICASA algorithm, a robust parameter design is applied. HICASA is compared with the widely-used genetic algorithm (GA) and the relatively new imperialist competitive algorithm (ICA). Experimental results suggest that HICASA algorithm is superior to GA and ICA on the FJSP.

Keywords

Flexible job shop scheduling problem Imperialist competitive algorithm Genetic algorithm Simulated annealing algorithm Taguchi parameter design 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Behrooz Ghasemishabankareh
    • 1
    Email author
  • Nasser Shahsavari-Pour
    • 2
  • Mohammad-Ali Basiri
    • 3
  • Xiaodong Li
    • 1
  1. 1.School of Computer Science and ITRMIT UniversityMelbourneAustralia
  2. 2.Department of Industrial ManagementVali-e-Asr UniversityRafsanjanIran
  3. 3.Department of Industrial Engineering, Science and Research BranchIslamic Azad UniversityKermanIran

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