Application Analysis of Intelligent Construction Management Based on Ant Colony Algorithm

Abstract

Optimization technology is a basic technology of modern scientific management methods. In order to meet the optimization needs of solving large-scale complex problems in modern management, effective optimization technology is urgently needed. Many typical quantitative model optimization problems have been solved. Since the 1950s, when the theory of project management came into being, along with the development of social economy, the fields involved in project management have become more and more extensive, and the depth of its research problems has also increased. Under the premise of limited resources, how to make reasonable arrangements for various activities in the project so as to ensure that the project can be completed on schedule and with good quality has become a common concern in the field of enterprise management. Based on the improved ant colony algorithm, this paper studies the multi-mode project scheduling management of construction projects. In the machine algorithm, the ant path of the feasible schedule of RCPSP problem can be constructed by repeating the selection process until the project terminates the process and setting the earliest start time of each selected process. After research, this algorithm is superior to the traditional algorithm, and it is suitable to be widely put into practice.

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