Affiliations: School of Civil Engineering and Architecture, Huanghuai University, Zhumadian, China
Correspondence:
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Corresponding author. Yong Li, School of Civil Engineering and Architecture, Huanghuai University, Zhumadian, China. E-mail: e67466813qiao@163.com.
Abstract: The problem of plane layout in construction site is to optimize the use of construction site space in the case of meeting multiple conflicting or uniform arrangement objectives and site constraints, and place the construction of temporary facilities in the construction site of the effective space. Aiming at the problems of the construction site layout, the genetic algorithm and the new ant colony algorithm were fused to gain the optimal solution of the continuous space, and the Pareto ant colony genetic algorithm was developed to solve the multi-objective optimization problem, using mathematical model to optimize the layout of the construction site to solve the problem of safety management from the objective level. The safety model of the construction site layout and the corresponding research methods were proposed, in order to improve the optimization of genetic algorithm, this paper used the ant colony algorithm to improve the quality of initial solution of genetic algorithm, and then get better optimal solution, through the experimental data analysis, the larger the initial population size based on Pareto ant colony genetic algorithm, the more diverse and global the resulting solutions, it was very suitable for solving the problem of the plane layout of the construction site.
Keywords: Construction plane layout, ant colony genetic algorithm, Pareto, multi-objective optimization
