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이규용(Kuy-Yong Lee),서준용(Jun-Yong Seo),문치웅(Chiung Moon) 한국산업경영시스템학회 2004 한국산업경영시스템학회지 Vol.27 No.1
This paper addresses a problem of machining route selection and determination of input quantity in a multi-stage flexible flow system with non-identical parallel machines. The problem considers a subcontracting, machining restraint, and machine yield. We develop a nonlinear programing with the objective of minimizing the sum of in-house processing cost and subcontracting cost. To solve this model, we introduce a single-processor parallel genetic algorithm(SPGA) to improve a weak point for the declined robustness of simple genetic algorithm(SGA). The efficiency of the SPGA is examined in comparison with the SGA for the same problem. In result of examination the SPGA is to provide the excellent solution than the solution of the SGA.