基于粒子群算法的工程项目多目标优化问题研究

A Multi-objective Optimization of Construction Projects Based on Particle Swarm Algorithm

为了更有效地解决工程项目的工期—成本—质量优化问题,从施工单位的角度出发,基于工期、质量、成本间的对立统一关系,以双代号网络图中每项工作的持续时间为自变量,建立工期—成本—质量优化模型,采用标准粒子群算法来优化求解。为了消除量纲对评价标准的影响,对3个目标适应值采取了标准化的处理方法。利用Matlab软件,对一个工程案例进行多目标优化,通过与蒙特卡罗方法进行对比,分析了粒子群算法的计算效率,优化结果验证了粒子群算法求解工程项目多目标优化模型的可行性和适用性。

In order to effectively solve the multi-objective optimization problem in construction projects, the paper tried to analyze the quantitative relation between the work time and Time-cost-quality by using particle swarm algorithm based on engineering network planning and scheduling. This paper uses standardized method to eliminate the influence of unit on evaluation standard. The paper develops a standard particle swarm optimization based on the MATLAB. At last, a practical construction project is used to verify the feasibility of this multi-objective model. The efficiency of the proposed method is also analyzed in comparison to the results of Monte Carlo simulation.