THE USE OF SIMULATION AND GENETIC ALGORITHM WITH DIFFERENT GENETIC OPERATORS TO OPTIMIZE MANUFACTURING SYSTEM

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ABSTRACT

The article depicts an evolutionary approach to simulation based optimization of a typical manufacturing system. Genetic algorithm with four different variants of genetic operators (crossover operator and type of selection) is compared to find the best optimization method. A comprehensive discussion of the genetic algorithm results obtained from the simulation model was also presented.

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