基于熵权和粒子群的资源均衡新方法研究  

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

作　　者：乞建勋[1] 王强[1] 贾海红[1] 

机构地区：[1]华北电力大学工商管理学院,北京102206

出　　处：《中国管理科学》2008年第1期90-95,共6页Chinese Journal of Management Science

基　　金：国家自然科学基金(80579101);教育部博士点基金(20050079008)

摘　　要：施工网络计划中资源均衡优化是解决资源供需矛盾的手段之一,也是工程建设项目的重要管理内容。在工程项目管理中,对有限资源进行全面系统地分析,并进行均衡优化,对于提高工程建设项目的综合效益具有很重要的意义。本文定义了资源熵的概念并利用熵函数建立工程项目管理的资源均衡优化模型,并针对传统解决方法的不足使用粒子群算法对模型进行求解。最后通过一个案例对模型的可行性和实用性进行了验证。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 overcome the shortcoming 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.

关 键 词：资源均衡 目标函数 熵 资源熵 粒子群算法 

分 类 号：C931[经济管理—管理学]