@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},