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Chinese Journal of Management Science ›› 2008, Vol. 16 ›› Issue (1): 90-95.

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Research on New Methods Based on Rntropy and Particle Swarm Optimization for Resource Leveling Problem

QI Jian-xun, WANG Qiang, JIA Hai-hong   

  1. School of Business Management, North China Power University, Beijing 102206, China
  • Received:2007-04-25 Revised:2008-01-17 Online:2008-02-28 Published:2008-02-28

Abstract: The resource leveling optimization is one of the main contents of project management.Analyzing the resource requirements thoroughly and systematically,and making resource leveling optimization are helpful to solve the contradiction between the requirements and supply,it is of significant importance to project management.In this paper,the concept of resource entropy is defined and a resource leveling optimization model based on entropy function is designed.In order to over come the shor tcoming of the traditional algorithms,the particle swarm optimization method is adopted to solve this problem.Finally,a case is studied,it shows that the resource leveling optimization model based on entropy function is better than other models in terms of efficiencies and exactness.

Key words: resource leveling, target function, entropy, resource entropy, particle swarm optimization

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