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A Very Fast Heuristic for Combinatorial Optimization With Specific Application to Priority Rule Sequencing in Operations Management: Fuzzy Greedy Search

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  • Kaveh Sheibani

    (ORLab Analytics, Vancouver, Canada)

Abstract

This article presents mathematics of a generic polynomial-time heuristic which can be integrated into approaches for hard combinatorial optimization problems. The proposed method evaluates objects in a way that combines fuzzy reasoning with a greedy mechanism, thereby exploiting a fuzzy solution space using greedy methods. The effectiveness and efficiency of the proposed method are demonstrated on job-shop scheduling as one of the most challenging classical sequencing problems in the area of combinatorial optimization.

Suggested Citation

  • Kaveh Sheibani, 2018. "A Very Fast Heuristic for Combinatorial Optimization With Specific Application to Priority Rule Sequencing in Operations Management: Fuzzy Greedy Search," International Journal of Operations Research and Information Systems (IJORIS), IGI Global, vol. 9(3), pages 77-89, July.
    • Handle: RePEc:igg:joris0:v:9:y:2018:i:3:p:77-89
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