基于遗传算法和Pareto排序的工期-费用-质量权衡模型

工期、费用和质量是工程项目管理和控制的三个基本目标,其中任何一个因素的变动都可能对其它两个产生影响.对工期-费用-质量进行全面的权衡,将对项目决策者管理和控制项目的运作有着重要意义.通过建立完整的质量衡量体系对工程项目的质量水平进行量化评估,利用Pareto最优的原理,设计了一套基于遗传算法和Pareto排序法的运算程序,从而建立起工期-费用-质量的权衡模型,决策者在由该模型得到的Pareto解集中寻求满意的资源配置方案.最后将模型应用于一个案例对其可行性和适用性进行了验证分析.

Time-cost-quality trade-off model based on genetic algorithms and Pareto ranking

Time, cost and quality are three basic objectives in engineering project management. They are interacting with each other. Taking time, cost and quality into account systemically is significant for project decision-maker to management and control project. In this paper, project quality is measured through a quality measurement system. According to Pareto optimal theory, a computation procedure is designed based on genetic algorithms and Pareto ranking, thus the time-cost-quality trade-off model is built. The optimal resource utilization options can be obtained from Pareto solutions calculated by this model. At the end of this paper, a case study is given to verify the feasibility and practicability of the mode1.