M MOHAMMADI - Mathematical Department, Islamic Azad University of Najaf abad
H FARAHMAND - ۲Electrical Engineering Department, Shahid Bahonar University of Kerman, Kerman
M RASHIDINEJAD - Electrical Engineering Department, Shahid Bahonar University of Kerman, Kerman
E ESLAMI - Mathematical Department, Shahid Bahonar University of Kerman, Kerman

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.

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