Using Genetic Algorithm to Solve Fuzzy Flow-Shop Scheduling Problem
Geng Zhao · Systems engineering and electronics · 2002
This paper studies fuzzy flow shop scheduling problem which involves 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. 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 optimized object. Finally, the simulation results and conclusion are given.