@article{(Open Science Index):https://publications.waset.org/pdf/699, title = {Comparison of Three Meta Heuristics to Optimize Hybrid Flow Shop Scheduling Problem with Parallel Machines}, author = {Wahyudin P. Syam and Ibrahim M. Al-Harkan}, country = {}, institution = {}, abstract = {This study compares three meta heuristics to minimize makespan (Cmax) for Hybrid Flow Shop (HFS) Scheduling Problem with Parallel Machines. This problem is known to be NP-Hard. This study proposes three algorithms among improvement heuristic searches which are: Genetic Algorithm (GA), Simulated Annealing (SA), and Tabu Search (TS). SA and TS are known as deterministic improvement heuristic search. GA is known as stochastic improvement heuristic search. A comprehensive comparison from these three improvement heuristic searches is presented. The results for the experiments conducted show that TS is effective and efficient to solve HFS scheduling problems. }, journal = {International Journal of Industrial and Manufacturing Engineering}, volume = {4}, number = {2}, year = {2010}, pages = {267 - 274}, ee = {https://publications.waset.org/pdf/699}, url = {https://publications.waset.org/vol/38}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 38, 2010}, }