Abstract
Project management involves planning, coordinating and controlling the whole project implementation process, so as to successfully achieve the construction objectives under certain resource constraints. The project must strictly control the investment and quality, and implement the objectives under the condition of comprehensive consideration of multiple factors. As long as this mode can be processed and implemented basically according to the requirements, it can basically complete the target task. However, how to optimize the multiple target of the project in an optimal way is a common consideration. The ant colony algorithm and BIM are used to build the data model, optimize the parameters of the input and output of the project data model, and finally complete the task through the multiple target optimization algorithm of the project. This paper studies the knowledge of multiple target optimization of decoration engineering projects based on ant colony algorithm and BIM, and explains a series of viewpoints and theories of multiple target optimization of decoration engineering projects based on ant colony algorithm and BIM. Through the effect analysis of the actual teaching data, the multiple target optimization of decoration engineering project based on ant colony algorithm and BIM is studied. The test results show that the multiple target optimization of decoration engineering project based on ant colony algorithm and BIM achieves 83.52%, 90.11%, 92.95% and 98.60% respectively in the aspects of decoration engineering project coordination, multiple target optimization performance, robustness and obstacle breaking performance.
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Zhong, Y., Liu, L., Lei, Y. (2023). Multi Objective Optimization of Decoration Engineering Project on Account of Ant Colony Algorithm and BIM. In: Abawajy, J.H., Xu, Z., Atiquzzaman, M., Zhang, X. (eds) Tenth International Conference on Applications and Techniques in Cyber Intelligence (ICATCI 2022). ICATCI 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 169. Springer, Cham. https://doi.org/10.1007/978-3-031-28893-7_8
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DOI: https://doi.org/10.1007/978-3-031-28893-7_8
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