Analysis of Multi-Objective Integrated Management System of Engineering Project Based on Ant Colony Algorithm

Ruifu Qi, Yongjun Qi, Hailing Tang
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Abstract

In the field of engineering construction, project management is a very important topic because it can promote the efficient development of the project. In the process of project investment decision-making, the core is the construction and operation of the whole project. This paper can systematically improve the management of engineering projects through ant colony algorithm. This paper mainly uses the methods of experimental analysis and principal component analysis to deeply study the multi-objective integrated management system of engineering project based on ant colony algorithm. The experimental data shows that at the quality level, the results of the two main factors meet the basic requirements, reaching more than 85%. The system can effectively improve the management efficiency and level of engineering projects, optimize the scheduling scheme of engineering projects, and improve the execution efficiency and quality of engineering projects.
基于蚁群算法的工程项目多目标集成管理系统分析
在工程建设领域,项目管理是一个非常重要的课题,因为它可以促进项目的高效发展。在项目投资决策过程中,核心是整个项目的建设和运营。本文通过蚁群算法系统地改进了工程项目的管理。本文主要采用实验分析和主成分分析的方法,对基于蚁群算法的工程项目多目标集成管理系统进行了深入研究。实验数据表明,在质量水平上,两个主要因素的结果满足基本要求,达到85%以上。该系统可以有效地提高工程项目的管理效率和水平,优化工程项目的调度方案,提高工程项目的执行效率和质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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