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An effective discrete harmony search algorithm for flexible job shop scheduling problem with fuzzy processing time

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  • Kai Zhou Gao
  • Ponnuthurai Nagaratnam Suganthan
  • Quan Ke Pan
  • Mehmet Fatih Tasgetiren

Abstract

This study addresses flexible job shop scheduling problem (FJSP) with fuzzy processing time. The fuzzy or uncertainty of processing time is one of seven characteristics in remanufacturing. A discrete harmony search (DHS) algorithm is proposed for FJSP with fuzzy processing time. The objective is to minimise maximum fuzzy completion time. A simple and effective heuristic rule is proposed to initialise harmony population. Extensive computational experiments are carried out using five benchmark cases with eight instances from remanufacturing. The proposed heuristic rule is evaluated using five benchmark cases. The proposed DHS algorithm is compared to six metaheuristics. The results and comparisons show the effectiveness and efficiency of DHS for solving FJSP with fuzzy processing time.

Suggested Citation

  • Kai Zhou Gao & Ponnuthurai Nagaratnam Suganthan & Quan Ke Pan & Mehmet Fatih Tasgetiren, 2015. "An effective discrete harmony search algorithm for flexible job shop scheduling problem with fuzzy processing time," International Journal of Production Research, Taylor & Francis Journals, vol. 53(19), pages 5896-5911, October.
    • Handle: RePEc:taf:tprsxx:v:53:y:2015:i:19:p:5896-5911
    DOI: 10.1080/00207543.2015.1020174
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    Cited by:

    1. Wang, Kai & Qin, Hu & Huang, Yun & Luo, Mengwen & Zhou, Lei, 2021. "Surgery scheduling in outpatient procedure centre with re-entrant patient flow and fuzzy service times," Omega, Elsevier, vol. 102(C).
    2. Mohammad Nasir & Ali Sadollah & Przemyslaw Grzegorzewski & Jin Hee Yoon & Zong Woo Geem, 2021. "Harmony Search Algorithm and Fuzzy Logic Theory: An Extensive Review from Theory to Applications," Mathematics, MDPI, vol. 9(21), pages 1-46, October.
    3. Md Ashikur Rahman & Rajalingam Sokkalingam & Mahmod Othman & Kallol Biswas & Lazim Abdullah & Evizal Abdul Kadir, 2021. "Nature-Inspired Metaheuristic Techniques for Combinatorial Optimization Problems: Overview and Recent Advances," Mathematics, MDPI, vol. 9(20), pages 1-32, October.

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