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Y. Shi and R. C. Eberhart, “A Modified Particle Swarm Optimizer,” Proceedings of Congress on Evolutionary Computation, Indianapolis, 4-9 May 1998, pp. 79-83.

has been cited by the following article:

• TITLE: Study to Cost of Air Spares Support Based on IPSO

  AUTHORS: Xiaohua Wang, Aiqin Mu, Fuhong Wang, Zhongbing Tang

  KEYWORDS: Air Spares Support; Fund; Particle Swarm Optimization

  JOURNAL NAME: Journal of Transportation Technologies, Vol.2 No.1, January 29, 2012

  ABSTRACT: Air spares support is general term of using and repairing of aircrafts which is the material foundation of aero technical support, its effectiveness influences operational effectiveness and equipments of aircrafts directly. Based on particle swarm optimization algorithm, a new model is proposed to optimize the distribution of the cost of air spares, it take the funds as resource and the improvement of performance efficiency as objective and deduces the expressions to get the best distribution plan. The results of experiments indicate that this model can make full use of the limited funds and obtain the highest efficiency of air spares support.