Multi-objective particle swarm optimization for uncertain reliability optimization problems

被引：0

作者：

Zhang, En-Ze ^{[1
]}

Chen, Qing-Wei ^{[1
]}

机构：

[1] School of Automation,, Nanjing University of Science and Technology,, Nanjing

来源：

Kongzhi yu Juece/Control and Decision | 2015年 / 30卷 / 09期

关键词：

Multi-objective optimization; Particle swarm optimization; Reliability optimization; Uncertainty interval;

D O I：

10.13195/j.kzyjc.2014.1165

中图分类号：

学科分类号：

摘要：

To solve the reliability optimization problem of a system with interval valued reliability of each component, an interval multi-objective particle swarm optimization approach is proposed. Then, the problem is formulated as a multi-objective optimization problem with interval valued objectives. Then, the model is solved by using the particle swarm optimization algorithm. Specifically, the imprecise Pareto dominance relation is defined, and the solutions to the key problems such as encoding of particles, handling of constraints, updation of the external repository, and selection of particle leaders, are presented. Finally, a numerical example is given to illustrate the effectiveness of the proposed approach. ©, 2015, Northeast University. All right reserved.

引用

页码：1701 / 1705

页数：4

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