期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2019
卷号：242
期号：6
页码：1-8
DOI：10.1088/1755-1315/242/6/062044
出版社：IOP Publishing
摘要：In the process of multi-objective problems, traditional algorithms have certain defects, especially because of the increasing number of conflicts and the increasingly complex application environment. This paper proposes a practical method to solve the multi-objective optimization problem for the duration and cost requirements in the construction project management, in order to reduce the error probability that the optimized project will produce in the actual project. Different from the existing optimization methods, this design modifies the curve of the time cost, and improves the parameters of the traditional genetic algorithm design and operation process design, which greatly increases the degree of fitness between the algorithm and the actual project. The model is based on genetic algorithms and combines different algorithms, so a simple and excellent Pareto solution can be quickly obtained. At the same time, optimization and simulation are carried out in an orderly way during the construction period. This new method is reasonable and effective in the very complicated multi-objective optimization problem of managing construction period and cost through an engineering example.
