Journal of South China University of Technology(Natural Science Edition) ›› 2004, Vol. 32 ›› Issue (12): 80-82,93.

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Multi-objective Optimization of System Reliability

Li Ying- chun  Hao Zhi- feng  Wang Ning- ning   

  1. College of Mathematical Sciences, South China Univ.of Tech.
  • Received:2003-10-28 Online:2004-12-20 Published:2015-09-08
  • Contact: 李迎春(1975-), 男, 硕士, 主要从事金融分析研究。 E-mail:chuny@cmbchina.com
  • About author:李迎春(1975-), 男, 硕士, 主要从事金融分析研究。

Abstract: The problem of multi-objective optimization has many sets of optimal solutions.The traditional method to
solve the problem is to translate the multi-objective into several single objectives and then resolve the invert problemby
the single-objective optimization technique .Unfortunately, this method has many inherited flaws.As a parallel algo-
rithm , genetic algorithm represents excellent capability in multi-objective optimization.In this paper, genetic algorithm
is employed to the multi-objective optimization of system reliability.Genetic operators are modified based on the in-
pessimum layered genetic algorithm , and the inpessimum solution to the optimization problem is thus obtained .Then,
sensitivity analysis is carried out toshrink the solution space .By a comparison experiment , it is verified that the speed
and precision of the proposed algorithm is effectively improved 

Key words: reliability, multi-objective optimization, genetic, algorithmsensitivity analysis