基于改进蚁群算法的项目组合工期-成本优化  

Time-cost optimization of project portfolio based on improved ant colony algorithm

作　　者：白礼彪[1] 白思俊[1] 郭云涛[1] 

机构地区：[1]西北工业大学管理学院,西安710072

出　　处：《计算机工程与应用》2015年第2期250-254,共5页Computer Engineering and Applications

基　　金：国家自然科学基金(No.71172123);航空科学基金项目(No.2012ZG53083);陕西省软科学项目(No.2012KRM85);西北工业大学人文社科与管理振兴基金(No.RW201105)

摘　　要：战略导向下的项目组合工期-成本优化是现代企业进行多项目管理所面临的重要问题之一,对企业实现资源效益最大化有着至关重要的促进作用。以战略导向下的项目组合工期-成本综合值最小化为研究对象,提出了优化组合项目中工序选择和执行次序的数学模型,在引入自适应权重法、调整信息素系数和混沌扰动变量的基础上,设计了求解该优化模型的改进蚁群算法。通过实例运算表明,改进后的蚁群算法,能够有效地提高算法全局搜索寻优能力和收敛速度,在求解战略导向下的项目组合工期-成本优化问题方面有较强的鲁棒性和实用价值。The time-cost trade-off based on the strategic orientation is one of important questions for the multi-project management, which plays a key role in enterprise resources benefit maximization. In order to minimize the value of time-cost trade-off cost and time under the strategic orientation, this paper proposes a mathematical model for the optimization of node selection and order execution in the project portfolio, an improved ant colony solution algorithm, which is on the basis of the adaptive weights, adjusting pheromone variable coefficients and chaotic perturbations has also been designed in this paper to solve the time-cost trade-off problem. The simulation results indicate that the improved algorithm can effectively improve global optimization ability, and much more robust and practical value in solving the time-cost optimization problem of project portfolio.

关 键 词：战略导向 项目组合 蚁群算法 工期-成本优化 

分 类 号：C935[经济管理—管理学] N945[自然科学总论—系统科学]