Simulation based optimization of a train maintenance facility model using genetic algorithms

In this paper, a simulation based optimization method is introduced. This method uses the technique of coupling industrial simulation software with a multi objective optimizer based on a genetic algorithm. This coupling is used to optimize the performances of a simulation model representing a railway maintenance facility by choosing the best queues' scheduling policy. Our results show that coupling is adapted to our problem and can be extended to cover other domains than sequencing rules and other types of simulation models

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