IMPLEMENTATION OF EVOLUTIONARY ALGORITHM AND FUZZY SETS FOR RELIABILITY OPTIMIZATION OF ENGINEERING SYSTEMS

摘要

This article uses an evolutionary algorithm to solve the series parallel redundancy optimization problem which is in a fuzzy framework. Reliability optimization 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 simulation based evolutionary algorithm is then employed to solve these kinds of fuzzy programming with fuzzy Goal and fuzzy constraints. Finally, numerical examples are also given.