Parallelization of Hybrid Simulated Annealing and Genetic Algorithm for Short-term Production Scheduling
نویسندگان
چکیده
In short-term production planning, jobs are assigned to machines and scheduled, taking into consideration that operations must be performed in pre-defined sequences. Since the problem is NP-hard, heuristics have to be used. Simulated annealing, neural networks and genetic algorithms are some of the recent approaches. We have tried to improve those methods by taking a hybrid of simulated annealing and genetic algorithms called PRSA (parallel recombinative simulated annealing). This paper describes the ideas underlying PRSA and our implementation on a parallel computer (transputer system).
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