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Improved genetic algorithm and its application to determination of critical slip surface with arbitrary shape in soil slope

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Abstract

In order to overcome the problem of being trapped by the local minima encountered in applying the simple genetic algorithm (GA) to search the critical slip surface of the slope, an improved procedure based on the harmony search algorithm is proposed. In the searching computation, the new solutions are obtained from the whole information of the current generation. The proposed method may be applied to calculate the minimum factors of safety of two complicated soil slopes. Comparison of the results with existing examples given by other authors has shown that the proposed method is feasible for stability analysis of soil slopes.

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References

  1. Li Shouju, Liu Yingxi, He Xiang, et al. Global search algorithm of minimum safety factor for slope stability analysis based on annealing simulation. Chinese Journal of rock mechanics and engineering, 2003, 22(2): 236–240 (in Chinese)

    Google Scholar 

  2. Xiao Zhuanwen, Zhang Qizhi, Gu Zhaocen, et al. Genetic algorithm of the minimum safety factor for slopes. Journal of Shenyang Architectural and Civil Engineering Institute, 1996, 12(2): 144–147 (in Chinese)

    Google Scholar 

  3. Feng Tugen, Liu Hanlong, Gao Yufeng, et al. Application of accelerating genetic algorithm for slope seismic stability analysis. Journal of Hydraulic Engineering, 2002, (9): 89–93 (in Chinese)

  4. Li Liang, Chi Shichun, Lin Gao. Improved complex method based on particle swarm optimization algorithm and its application to slope stability analysis Rock and Soil Mechanics, 2005, 26(9): 1393–1398(in Chinese)

    Google Scholar 

  5. Li Liang, Chi Shichun, Lin Gao. The complex method based on ant colony algorithm and its application to the slope stability analysis. Chinese Jounal of Geotechnical Engineering, 2004, 26(5): 691–696 (in Chinese)

    Google Scholar 

  6. Arai K, Tagyo K. Determination of noncircular slip surface giving the minimum factor of safety in slope stability analysis. Soils and Foundations, 1985, 25(1): 43–51

    Google Scholar 

  7. Bolton H P J, Heymann G, Groenwold A A, Global search for critical failure surface in slope stability analysis, Engineering Optimization, 2003, 35(1): 51–65

    Article  Google Scholar 

  8. Zolfaghari A R, Heath A C, McCombie P F. Simple genetic algorithm search for critical non-circular failure surface in slope stability analysis. Computers and Geotechnics, 2005, 32,(3): 139–152

    Article  Google Scholar 

  9. Chen Zuyu, Shao Changming. Optimum methods and its application to the location of the minimum factor of safety of slopes. Chinese Journal of Geotechnical Engineering, 1988, 10(4): 1–13 (in Chinese)

    MATH  Google Scholar 

  10. Cao Wengui, Yan Ronggui. A study on dynamic programming to determine noncircular critical slip surface of slopes. Chinese Journal of Rock Mechanics and Engineering, 1995, 14,(4): 320–328 (in Chinese)

    Google Scholar 

  11. Yan Chi, Sun Xunhai, Feng Yi. Application of dynamic programming method in searching most dangerous slip surface of reinforced slopes. Journal of Hydraulic Engineering, 2005, 36(1): 77–82 (in Chinese)

    Google Scholar 

  12. Chen Changfu, Gong Xiaonan, Wang Yisun. Adaptive colony algorithm and its application to the slope engineering. Journal of Zhejiang University (Engineering science), 2003, 37(5): 566–569 (in Chinese)

    Google Scholar 

  13. Gao Wei. Method for searching critical slip surface of soil slope base on ant colony algorithm. Journal of Hydraulic Engineering, 2005, 36(9): 1100–1104 (in Chinese)

    Google Scholar 

  14. Wang Chenghua, Xia Xuyong, Li Guangxin. Ant algorithm in search of the critical slip surface in soil slopes based on stress fields. Chinese Journal of Rock Mechanics and Engineering, 2003, 22(5): 813–819 (in Chinese)

    Google Scholar 

  15. Wang Chenghua, Xia Xuyong, Li Guangxin. Genetic algorithm for searching for critical slip surface in soil slopes based on stress field. Journal of Tsinghua University (Science and Technology), 2004, 44(3): 425–428 (in Chinese)

    Google Scholar 

  16. Li Liang, Chi Shichun, Lin Gao. The genetic algorithm incorporating harmony procedure and its application to the search for the non-circular critical slip surface for soil slopes Journal of Hydraulic Engineering, 2005, 36(8): 913–918 (in Chinese)

    Google Scholar 

  17. Cheng Y M. Locations of critical failure surface and some further studies on slope stability analysis. Computers and Geodetics, 2003, 30(3): 255–267

    Article  Google Scholar 

  18. Holland J H. Adaptation in Natural and Artificial System. Ann Arbor: The University of Michigan Press, 1975

    Google Scholar 

  19. Geem Z W, Kim J H, Loganathan G V. Harmony search. Simulation, 2001, 76(2): 60–68

    Article  Google Scholar 

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Correspondence to Liang Li.

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Translated from Journal of Hydraulic Engineering, 2007, 38(2): 157–162 [译自: 水利学报]

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Li, L., Chi, S., Cheng, Y. et al. Improved genetic algorithm and its application to determination of critical slip surface with arbitrary shape in soil slope. Front. Archit. Civ. Eng. China 2, 145–150 (2008). https://doi.org/10.1007/s11709-008-0016-8

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