Evaluating the performance of various Heuristic Algorithms to Solve Flow Shop Scheduling Problem with Fuzzy Processing Time
This paper evaluates the performance of selected heuristic algorithms, namely Palmer’s and Campbell, Dudek and Smith (CDS) algorithm, Nawaz-Enscore-Ham (NEH), and SAI algorithms for minimizing the makespan in fuzzy flow shop scheduling problem (FSSP) with triangular fuzzy processing times. The algorithms are tested on sixteen benchmark problems with size up to 10 machines and 20 jobs using a MATLAB program. Computational results show that, despite its simplicity, the FNEH algorithm can provide the best results compared to other algorithms, regardless of the size of the problem.
Authors
- Sumaia E. Eshim
Institutions
- University of Benghazi (LY)
Publication Details
- Journal
- World Journal of Advanced Research and Reviews
- Published
- 2024-10-25
- DOI
- https://doi.org/10.30574/wjarr.2024.24.1.3211
- Primary Topic
- Advanced Manufacturing and Logistics Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00