سال انتشار: ۱۳۸۶
محل انتشار: اولین کنگره مشترک سیستم های فازی و سیستم های هوشمند
تعداد صفحات: ۶
M MOHAMMADI – Mathematical Department, Islamic Azad University of Najaf abad
H FARAHMAND – 2Electrical 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 haveredundancy 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.