计算机工程与应用2011，Vol.47Issue(9)：210-213,4.DOI:10.3778/j.issn.1002-8331.2011.09.061
战时维修保障资源优化调度的μPSO算法研究
Researches of maintenance and support resources scheduling in battlefield based on μPSO algorithm
牛天林 1王洁 1杜燕波 1杜安利1
作者信息
- 1. 空军工程大学,导弹学院,陕西,三原,713800
- 折叠
摘要
Abstract
Equipment maintenance and support resources scheduling decision is a typical multi-task and multi-resources competition and cooperation combinatorial optimization problem.Firstly, this paper builds a rational scheduling decision-making model which considers the factors of time,risks and benefits.Then considering the weak search ability and early plunging into local solution phenomenon of traditional PSO method, this paper designs a μPSO algorithm which improves the method structure and has better performance.The different velocity and position compute formulas will distinguish normal particles and best particle of the time,and repulsion-item is used to avoid search process early converging.At last,a calculational case proves the feasibility and validity of μPSO method.关键词
维修保障资源调度/微粒子群算法/多目标优化/决策Key words
maintenance and support resources scheduling/micro-Particle Swarm Optimization(μPSO)/multi-objective programming/ decision-making分类
信息技术与安全科学引用本文复制引用
牛天林,王洁,杜燕波,杜安利..战时维修保障资源优化调度的μPSO算法研究[J].计算机工程与应用,2011,47(9):210-213,4.
