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Genetic algorithm and adaptive neural network hybrid method for job-shop scheduling problems
(Northeastern University Press, China, 1998-07)
This paper proposes a hybrid method of genetic algorithm (GA) and constraint satisfaction adaptive neural network (CSANN) for solving job-shop scheduling problems. In the hybrid method GA is used to iterate for searching ...