Implementation of evolutionary algorithm and fuzzy sets for reliability optimization of engineering systems
Mohammad Mohammadi Najafabadi, Sara Mansoori · Bulletin of Pure & Applied Sciences- Mathematics and Statistics · 2013
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