Implementation of Evolutionary Algorithm and Fuzzy Sets for Reliability Optimization of Engineering Systems

This article uses an evolutionary algorithm to solve the series parallel redundancy optimization problem which is in a fuzzy framework. Reliability ptimization provides a means to help the reliability engineer achieve such a goal. Most methods of reliability optimization assume that systems have redundancy components in series and / or parallel systems and that alternative designs are available. Optimization concentrates on optimal allocation of redundancy components and optimal selection of alternative designs to meet system requirements. A fuzzy simulationbased evolutionary algorithm is then employed to solve these kinds of fuzzy programming with fuzzy Goal and fuzzy constraints. Finally, numerical examples are also given.

کلیدواژه ها:

evolutionary algorithm ، reliability analysis ، reliability optimization ، genetic algorithm ، Fuzzy simulation