Quantitative Analysis Model of Multi-Objective Management in Engineering Projects Based on Genetic Algorithm

In the field of project management, multi-objective quantitative analysis model is very important, but its performance positioning has errors. Conventional action evaluation algorithms fail to effectively solve the problem of phase limitation in the project, resulting in unsatisfactory results. Therefore, a quantitative analysis model of engineering multi-objective management based on genetic algorithm is proposed and evaluated. Firstly, the influencing factors are determined by using the group foraging theory, and then the indicators are divided according to the needs of multi-objective management to reduce the interference factors in quantitative analysis. Then, the quantitative analysis scheme of genetic algorithm is constructed by using the group foraging theory, and the results of the model are tested in detail. The results of MATLAB simulation show that the genetic algorithm is superior to the traditional action evaluation algorithm in the accuracy of multi-objective management and the time of influencing variables under certain conditions.