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：252
期号：5
页码：1-8
DOI：10.1088/1755-1315/252/5/052066
出版社：IOP Publishing
摘要：The thickness of pavement structural layer is one of the key indicators of pavement quality detection, which has a great impact on the normal use of the pavement. Among the algorithms that calculating this indicator, particle swarm optimization algorithm has low inversion accuracy while genetic algorithm has low inversion efficiency. This thesis put forward a hybrid inversion analysis method based on particle swarm optimization and genetic algorithm. By taking the advantages of the above two algorithms and combining the characteristics of selection, crossover, mutation of genetic algorithm and fast convergence of particle swarm optimization, this method could improve the accuracy of inversion under the condition of ensuring the computational efficiency. The analysis of the inversion results of theoretical model and field core sampling results verified the accuracy of inversion results, and the feasibility and effectiveness of the proposed algorithm were proved.
