Reliability Optimization Design Using a Hybridized Genetic Algorithm with a Neural-Network Technique

摘要

In this paper, we examine an optimal reliability assignment/redundant allocation problem formulated as non- linear mixed integer programming (nMIP) model which should simultaneously determine continuous and discrete decision vari- ables. This problem is more difficult than the redundant alloca- tion problem represented by a nonlinear integer problem (nIP). Recently, several researchers have obtained acceptable and satis- factory results by using genetic algorithms (Gas) to solve optimal reliability assignment/redundant allocation problems.