Using genetic algorithms to solve fuzzy flow-shop scheduling problems

Using genetic algorithms to solve fuzzy flow-shop scheduling problems

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Article ID: iaor20041592
Country: China
Volume: 24
Issue: 6
Start Page Number: 5
End Page Number: 7
Publication Date: Jun 2002
Journal: Chinese Journal of Systems Engineering and Electronics
Authors: ,
Keywords: fuzzy sets
Abstract:

This paper studies fuzzy flow-shop scheduling problems which involve both fuzzy processing time and fuzzy due date. Fuzzy processing time is denoted by a triangular fuzzy number and fuzzy due date is denoted by a trapezoid one. A genetic algorithm is adopted to find the optimal sequencing. When dealing with the fitness function, we introduce some fuzzy number processing methods and use the maximum average agreement index as objective. Finally, the simulation results and conclusion are given.

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