计算机与现代化Issue(7)：9-13,5.DOI:10.3969/j.issn.1006-2475.2012.07.003
基于改进蚁群算法的项目组合工期——成本优化的研究
Research on Time-cost Trade-off of Project Portfolio Based on Improved Ant Colony Algorithm
摘要
Abstract
The time-cost trade-off based on the strategic orientation is one of the most crucial aspects of enterprise project portfolio planning that plays a key role in enterprise resources benefit maximization, which in fact is a multi-objective optimization problem. A new evolutionary algorithm-ant colony optimization ( ACO) algorithm is employed to solve the time-cost trade-off problem. According to the ant colony algorithm existing precocious, stagnation, local optimal shortcomings, adopting certainty and uncertainty search rules and combining with chaos, an improved ant colony algorithm is proposed. Experimental results indicate that join chaos and search rules, the developed ACO can effectively improve global optimization ability, can draw better results in solving time-cost trade-off of project portfolio.关键词
工期——成本优化/蚁群算法/项目组合Key words
time-cost trade-off/ ant colony algorithm/ project portfolio分类
自科综合引用本文复制引用
白礼彪,白思俊,郭云涛..基于改进蚁群算法的项目组合工期——成本优化的研究[J].计算机与现代化,2012,(7):9-13,5.基金项目
国家自然科学基金资助项目(71172123) （71172123）
西北工业大学人文社科与管理振兴基金资助项目(RW201105) （RW201105）
