基于遗传算法的工程项目群工期-费用优化研究

Optimization of Project Group Duration-Cost Based on Genetic Algorithm

摘要:

首先根据项目群工期与费用的特点分析项目群工期与费用优化机理；然后在工程质量得以保障的假设前提下构建项目群工期-费用优化模型，依据遗传算法原理对模型进行求解；最后引入大型工程项目群案例进行项目群工期-费用优化实证分析。研究结果显示：利用实数编码以及保留精英子代的遗传算法能直观而又准确地解决项目群费用的优化问题，同时达到在一定程度上缩短工期的效果。

Abstract:

Firstly, according to the characteristics of project group duration and cost, this paper analyzes the mechanism of project group duration and cost optimization; then, based on the assumption that the quality of the project can be guaranteed, the paper constructs duration-cost optimization model, and the model is solved according to the principle of genetic algorithm; Finally, the paper introduces the case of large-scale project group to analyze the project group duration-cost optimization. The results show that the genetic algorithm using real number coding and retaining elite offspring can solve the optimization problem of project group cost intuitively and accurately, and at the same time, it can shorten the time limit to a certain extent.