Convergence analysis of the new hybrid genetic algorithm for job the shop scheduling problem
نویسندگان
چکیده
In our recent paper [9], we proposed a new hybrid genetic algorithm (NHGA) for the job shop scheduling problems. The method of encoding we used is Natural coding instead of traditional binary coding. This manner of coding has a lot of advantages but its convergence is still an open issue for years. This paper analyzes the convergence property of the NHGA by applying properties of Markov chains. Based on the Markov chain analysis of genetic algorithm, we find out the proposed method leads to the convergence to the global optimum in the case of Natural coding.
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