Selective Maintenance Decision of Elevator System Based on Particle Swarm Optimization
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    Abstract:

    In order to solve the problem of deficiency and excess repair maintenance in the process of elevator system, a resource constrained maintenance of elevator system with the highest reliability is studied. Firstly it expounds the model assumption and create the reliabilty as the objection function. A discrete and nonlinear constrained programming model is established. Then, it gives a simulation based PSO to solve the problem, and it includes particle representation, fitness function, update methods and algorithm process. Finally, there is an example to show tthat the model and algorithm can effectively optimize the maintenace decsion scheme and improve the reliability. It can also provides guidance for decision makers.

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陈兆芳,张岐山.基于粒子群算法的电梯系统选择性维修模型.计算机系统应用,2015,24(8):229-233

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History
  • Received:December 16,2014
  • Revised:March 09,2015
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  • Online: September 03,2015
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