Ant Colony Optimization Approach to the Utility Maintenance Model for Connected-(r, s)-out of-(m, n) : F System

(m, n)중 연속(r, s) : F 시스템의 정비모형에 대한 개미군집 최적화 해법

  • Lee, Sang-Heon (Department of Operations Research, Korea National Defense University) ;
  • Shin, Dong-Yeul (Department of Operations Research, Korea National Defense University)
  • 이상헌 (국방대학교 운영분석학과) ;
  • 신동열 (국방대학교 운영분석학과)
  • Received : 2008.01.21
  • Accepted : 2008.05.12
  • Published : 2008.09.30

Abstract

Connected-(r,s)-out of-(m,n) : F system is an important topic in redundancy design of the complex system reliability and it's maintenance policy. Previous studies applied Monte Carlo simulation and genetic, simulated annealing algorithms to tackle the difficulty of maintenance policy problem. These algorithms suggested most suitable maintenance cycle to optimize maintenance pattern of connected-(r,s)-out of-(m,n) : F system. However, genetic algorithm is required long execution time relatively and simulated annealing has improved computational time but rather poor solutions. In this paper, we propose the ant colony optimization approach for connected-(r,s)-out of-(m,n) : F system that determines maintenance cycle and minimum unit cost. Computational results prove that ant colony optimization algorithm is superior to genetic algorithm, simulated annealing and tabu search in both execution time and quality of solution.

Keywords

References

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