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Evolutionary algorithm with feasibility rule based constraint-handling method for intelligent production scheduling

Manufacturers constantly have to encounter fluctuated product demands. Accordingly, it is required to establish a production schedule that meets the future demands and concurrently has a low level of daily labor/materials’ deviation. This study constructs an evolutionary algorithm for achieving this task. The Differential Evolution (DE) algorithm and the feasibility rule based method for constraint handling are integrated to develop this evolutionary algorithm. The proposed approach has been verified by two cases of production scheduling. |