Journal of the Korea Society for Simulation (한국시뮬레이션학회논문지)

The Korea Society for Simulation (한국시뮬레이션학회)
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Simulation Optimization for Optimal at Design of Stochastic Manufacturing System Using Genetic Algorithm

추계적 생산시스템의 최적 설계를 위한 전자 알고리즘을 애용한 시뮬레이션 최적화 기법 개발

  • 이영해 (한양대학교 산업공학과) ;
  • 유지용 (마이티정보시스템 (주)) ;
  • 정찬석 (한양대학교 산업공학과)
  • Published : 2000.03.01
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Abstract

The stochastic manufacturing system has one or more random variables as inputs that lead to random outputs. Since the outputs are random, they can be considered only as estimates of the true characteristics of the system. These estimates could greatly differ from the corresponding real characteristics for the system. Multiple replications are necessary to get reliable information on the system and output data should be analyzed to get optimal solution. It requires too much computation time practically, In this paper a GA method, named Stochastic Genetic Algorithm(SGA) is proposed and tested to find the optimal solution fast and efficiently by reducing the number of replications.

Keywords

References

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