Redundancy Optimization Models for Complex Systems

摘要

This paper considers the redundancy optimization problems with lifetime distribution of system and multiple goals for complex systems. The objectives are to maximize optimistic values to the lifetime distribution with the predetermined confidence levels, thus we produce a spectrum of redundancy chance-constrained programming models. A hybrid intelligent algorithm for solving these models is also designed. Finally, we provide a unmerical example to illustrate the effectiveness of the proposed algorithm.