1Department of Computer Engineering and Information Technology, Payame noor University, Po Box 19395-3697, Tehran, Iran
2Department of Teaching English, Islamic Najafabad Azad University, Najaf abad, Isfahan, Iran
*Email id: mohamadinajafabadi@gmail.com
**Email id: m_mohammadi@chbpnu.ac.ir
Online published on 24 March, 2014.
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
Evolutionary algorithm, reliability analysis, reliability optimization, genetic algorithm, Fuzzy simulation
