Genetic Algorithm with Selective Local Search for Multi-objective Permutation Flow Shop Scheduling Problem
نویسنده
چکیده
In this paper the flow shop scheduling problem with minimizing two criteria simultaneously is consider. Selected criteria are: makespan and the sum of tardiness of jobs. For each separate criteria the problem is strongly NP-hard, which makes it NP-hard as well. There is a number of heuristic algorithms to solve the flow shop problem with various single objectives, but heuristics for multi-criteria flow shop problems are not so common. In this paper a new idea of the use of local search method for multi-criteria problems is presented.
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