A Genetic Algorithm for the Real-World Fuzzy Job Shop Scheduling

@inproceedings{Fayad2004AGA,
  title={A Genetic Algorithm for the Real-World Fuzzy Job Shop Scheduling},
  author={Carole Fayad and Sanja Petrovic},
  year={2004}
}
In this paper, a multi-objective genetic algorithm is proposed to deal with a real-world fuzzy job shop scheduling problem. Fuzzy sets are used to model uncertain due dates and processing times of jobs. The objectives considered are average tardiness and the number of tardy jobs. Fuzzy sets are used to represent satisfaction grades for the objectives taking into consideration the preferences of the decision maker. A genetic algorithm is developed to search for the solution with maximum… CONTINUE READING
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