Standby redundancy optimization with type-2 fuzzy lifetimes

  • Authors:
  • Yanju Chen;Ying Liu

  • Affiliations:
  • College of Mathematics and Computer Science, Hebei University, Hebei, China;College of Mathematics and Computer Science, Hebei University, Hebei, China

  • Venue:
  • ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part I
  • Year:
  • 2011

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Abstract

Under the given system weight constraint, we consider the problem of maximizing the system lifetime and minimizing the system cost. The lifetimes of components in the system are characterized by type-2 fuzzy variables. The numbers of redundant elements of each components are the decision variables. We use the reduction methods to reduce the type-2 fuzzy lifetimes. Then, we propose a goal programming model for this system. We suggest an approximation approach (AA) to the reliability and design an AA-based particle swarm optimization (PSO) algorithm to solve the fuzzy model.