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The job shop scheduling problem (JSP) is well known as one of the most complicated combinatorial optimization problems, and it is a NP-hard problem. Memetic algorithm (MA) which combines the global search and local search is a hybrid evolutionary algorithm. In this paper, an efficient MA with a novel local search is proposed to solve the JSP. Within the local search, a systematic change of the neighborhood...
The job shop scheduling problem (JSP) is well known as one of the most complex optimization problems due to its very large search space and many constraint between machines and jobs. Memetic algorithm (MA) is a hybrid evolutionary algorithm that combines the global search strategy and local search strategy. In this paper, an efficient MA combined with a novel local search strategy by exchanging and...
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