Immune Algorithm based Approach for Redundant Reliability Problems with Multiple Component Choices

• Main Author: 陳靜慧
• Other Authors: 蘇慶隆
• Format: Others
• Language: zh-TW
• Published: 2003
• Online Access: http://ndltd.ncl.edu.tw/handle/02158449351919310496

碩士 === 長榮大學 === 經營管理研究所 === 91 === This thesis considers the series-parallel redundant reliability problems in which both the multiple component choices of each subsystem and the redundancy levels of every selected component are to be decided simultaneously so as to maximize the system reliability. The reliability design optimization problem has been studied in the literature for decades, usually using mathematical programming or heuristic optimization approaches. The difficulties encountered for both methodologies are the number of constraints and the difficulty of satisfying the constraints. A penalty guided immune algorithms based approach is presented for solving such integer nonlinear redundant reliability design problem. The results obtained by using immune algorithms based approach are compared with the results obtained from 33 test problems from the literature that dominate the previously mention solution techniques. Numerical examples indicate that the immune algorithms perform well for the series-parallel redundant reliability problem considered in this thesis. In particular, as reported, solutions obtained by immune algorithms are as well as or better than the previously best-know solutions.