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Hybrid Ant Colony Optimization For Fuzzy Unrelated Parallel Machine Scheduling Problems, Po An Su
Hybrid Ant Colony Optimization For Fuzzy Unrelated Parallel Machine Scheduling Problems, Po An Su
LSU Master's Theses
This study extends the best hybrid ant colony optimization variant developed by Liao et al. (2014) for crisp unrelated parallel machine scheduling problems to solve fuzzy unrelated parallel machine scheduling problems in consideration of trapezoidal fuzzy processing times, trapezoidal fuzzy sequencing dependent setup times and trapezoidal fuzzy release times. The objective is to find the best schedule taking minimum fuzzy makespan in completing all jobs. In this study, fuzzy arithmetic is used to determine fuzzy completion times of jobs and defuzzification function is used to convert fuzzy numbers back to crisp numbers for ranking. Eight fuzzy ranking methods are tested …