Double mutation genetic algorithm and its application to the critical slip surface search

Considering the fact that the optimization function of the critical slip surface search problem has many variables, complex constraints and many local extremum points, it is difficult for the traditional optimization method to achieve better search results. Therefore, a genetic algorithm based on do...

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Main Author: Wei QIN
Format: Article
Language:zho
Published: Editorial Office of Hydrogeology & Engineering Geology 2021-11-01
Series:Shuiwen dizhi gongcheng dizhi
Subjects:
Online Access:https://www.swdzgcdz.com/en/article/doi/10.16030/j.cnki.issn.1000-3665.202011032
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author Wei QIN
author_facet Wei QIN
author_sort Wei QIN
collection DOAJ
description Considering the fact that the optimization function of the critical slip surface search problem has many variables, complex constraints and many local extremum points, it is difficult for the traditional optimization method to achieve better search results. Therefore, a genetic algorithm based on double mutation strategy is proposed to search the critical slip surface of slope. On one hand, the algorithm improves the local optimization ability of the algorithm by detecting mutation operation and the global optimization ability of the algorithm by direct mutation operation. The combination of detection mutation operation and direct mutation operation enables the algorithm to achieve a good balance between the breadth and depth of the search. On the other hand, the algorithm adopts adaptive crossover probability and adaptive mutation probability considering individual fitness value and evolution times, so that the algorithm can increase the diversity of population in the early stage of evolution. The algorithm can protect the better individuals from destruction in the later stage of evolution. The algorithm is combined with the simplified Bishop method to calculate the examination questions provided by ACADS and a seawall slope problem. The results show that (1) for both homogeneous and heterogeneous slopes, this method can accurately search the critical slip surface of the slope and calculate the corresponding safety factor. (2) Compared with genetic algorithms that only carry out direct mutation or detect mutation, the double mutation genetic algorithm has stronger global search ability and better robustness, and has a broad application prospect.
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spelling doaj.art-635a0553ecc6408da2c58bb61e404d402023-02-08T01:28:48ZzhoEditorial Office of Hydrogeology & Engineering GeologyShuiwen dizhi gongcheng dizhi1000-36652021-11-0148616117010.16030/j.cnki.issn.1000-3665.202011032202011032Double mutation genetic algorithm and its application to the critical slip surface searchWei QIN0Chongqing Vocational Institute of Engineering, Chongqing 402260, ChinaConsidering the fact that the optimization function of the critical slip surface search problem has many variables, complex constraints and many local extremum points, it is difficult for the traditional optimization method to achieve better search results. Therefore, a genetic algorithm based on double mutation strategy is proposed to search the critical slip surface of slope. On one hand, the algorithm improves the local optimization ability of the algorithm by detecting mutation operation and the global optimization ability of the algorithm by direct mutation operation. The combination of detection mutation operation and direct mutation operation enables the algorithm to achieve a good balance between the breadth and depth of the search. On the other hand, the algorithm adopts adaptive crossover probability and adaptive mutation probability considering individual fitness value and evolution times, so that the algorithm can increase the diversity of population in the early stage of evolution. The algorithm can protect the better individuals from destruction in the later stage of evolution. The algorithm is combined with the simplified Bishop method to calculate the examination questions provided by ACADS and a seawall slope problem. The results show that (1) for both homogeneous and heterogeneous slopes, this method can accurately search the critical slip surface of the slope and calculate the corresponding safety factor. (2) Compared with genetic algorithms that only carry out direct mutation or detect mutation, the double mutation genetic algorithm has stronger global search ability and better robustness, and has a broad application prospect.https://www.swdzgcdz.com/en/article/doi/10.16030/j.cnki.issn.1000-3665.202011032genetic algorithmslope stabilitysimplified bishop methodcritical slip surface
spellingShingle Wei QIN
Double mutation genetic algorithm and its application to the critical slip surface search
Shuiwen dizhi gongcheng dizhi
genetic algorithm
slope stability
simplified bishop method
critical slip surface
title Double mutation genetic algorithm and its application to the critical slip surface search
title_full Double mutation genetic algorithm and its application to the critical slip surface search
title_fullStr Double mutation genetic algorithm and its application to the critical slip surface search
title_full_unstemmed Double mutation genetic algorithm and its application to the critical slip surface search
title_short Double mutation genetic algorithm and its application to the critical slip surface search
title_sort double mutation genetic algorithm and its application to the critical slip surface search
topic genetic algorithm
slope stability
simplified bishop method
critical slip surface
url https://www.swdzgcdz.com/en/article/doi/10.16030/j.cnki.issn.1000-3665.202011032
work_keys_str_mv AT weiqin doublemutationgeneticalgorithmanditsapplicationtothecriticalslipsurfacesearch