Minimizing Total Tardiness in the m-Machine Flow-Shop Problem by Heuristic Algorithms
AbstractIn this work the m-machine permutation flow-shop problem has been considered. The permutation flow-shop scheduling problem where a set of jobs have to be scheduled on a set of machines in the same order. We propose heuristic algorithms for the flow-shop problem to minimizing the total tardiness. A new genetic and Tabu search algorithm which initialized by the solution of EDD, NEH and EN algorithm. Computational experiments are performed on benchmark instances and the results show the good performances of these methods. Finally, some future research directions are given.
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