
基于遗传算法的工程项目投资综合优化探讨
陈耀明1,2、钟登华1、付金强1
Construction Project Investment Optimization Based on Genetic Algorithm
Chen Yaoming1,2、 Zhong Denghua1、 Fu Jinqiang1
利用多目标优化理论、多属性效用函数理论建立了工程建设项目工期、成本和质量的综合均衡优化模型,在网络计划技术的基础上,用遗传算法对模型进行求解,可以得到最满意的决策方案和多个近似满意的备选方案,作为工程建设项目投资综合控制的目标。并应用实例对模型的可行性和实用性进行了验证。
In this paper, a time-cost-quality trade-off optimization model is set up by using multi-objective optimization theory and multi-attribute utility function theory. By applying network planning techniques and genetic algorithms to the model, the most satisfied decision result as well as several near satisfied alternative results can be obtained, which can be used to control the project investment. In the paper, a case study is given to verify the feasibility and practicability of the model. The application analysis and the results show that the model has practical value to some extent.
project investment / multi-attribute utility function / genetic algorithms
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