Combination Genetic/tabu Search Algorithm for Hybrid Flowshops Optimization
نویسنده
چکیده
The paper describes an algorithm for solving the scheduling problem of a hybrid flowshop (flowshop with multiple processors, FSMP). The algorithm is a combination of genetic algorithm and tabu search, and the batch processes it is applied on are modeled by a model of time requirements. The paper describes the algorithm and compares its performance with other optimization techniques.
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