关键词: 维修保障资源调度, 微粒子群算法, 多目标优化, 决策

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.

Key words: maintenance and support resources scheduling, micro-Particle Swarm Optimization（μPSO）, multi-objective programming, decision-making