An Application Of Effective Genetic Algorithms For Solving Hybrid Flow Shop Scheduling Problems

@article{Kahraman2008AnAO,
  title={An Application Of Effective Genetic Algorithms For Solving Hybrid Flow Shop Scheduling Problems},
  author={Cengiz Kahraman and Orhan Engin and Ihsan Kaya and Mustafa Kerim Yilmaz},
  journal={Int. J. Comput. Intell. Syst.},
  year={2008},
  volume={1},
  pages={134-147}
}
This paper addresses the Hybrid Flow Shop (HFS) scheduling problems to minimize the makespan value. In recent years, much attention is given to heuristic and search techniques. Genetic algorithms (GAs) are also known as efficient heuristic and search techniques. This paper proposes an efficient genetic algorithm for hybrid flow shop scheduling problems. The proposed algorithm is tested by Carlier and Neron’s (2000) benchmark problem from the literature. The computational results indicate that… CONTINUE READING
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