Metaheuristics for scheduling on parallel machine to minimize weighted number of early and tardy jobs
نویسندگان
چکیده
This paper considers the scheduling of n jobs on m parallel machines to minimize the weighted number of early and tardy jobs. The single machine case of this problem has been shown to be NPcomplete in the strong sense. This problem on m parallel machine is also NP complete in the strong sense and finding an optimal solution appears unlikely. The problem is formulated as an integer linear programming model. In this paper, we propose some meta-heuristics for solving this problem. Extensive computational experiments were performed which gave promising results.
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