A Fuzzy Shifting Bottleneck Hybridised with Genetic Algorithm for Real-world Job Shop Scheduling

  • Sanja Petrovic Carole Fayad
  • Published 2004

Abstract

This paper describes a fuzzy Shifting Bottleneck Procedure hybridised with genetic algorithm for a real-world job shop scheduling problem. Fuzzy sets are used to model uncertain processing times of jobs and their release dates and due dates. In each iteration, the Shifting Bottleneck Procedure selects a machine, which is critical for the stated objective… (More)

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