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KCI등재 학술저널

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

Simulation Optimization for Optimal Design of Stochastic Manufacturing System Using Genetic Algorithm

  • 2

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 necessry to get reliable information on the system and output data should be analyzed to get optimal solution. It requires too much computation time prac cally. 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.

1. Introduction

2. Literature review

3. Stochastic Genetic Algorithm

4. Experiments

5. Conclusion

Reference

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