Optimization of the Critical Slip Surface of Three-Dimensional Slope by Using an Improved Genetic Algorithm
Publication: International Journal of Geomechanics
Volume 20, Issue 8
Abstract
An improved genetic algorithm is proposed to optimize the potential sliding surface of slopes. Compared with a conventional genetic algorithm, the genetic recombination between the previous generation and the newly generated population around the local optimal individual of the previous generation is performed in the improved genetic algorithm, while the genetic recombination between the previous generations is performed in the conventional genetic algorithm. The improved genetic algorithm has the advantage of faster convergence than the conventional genetic algorithm. Moreover, the rigorous limit equilibrium method is applied to define the safety factor of slopes. Two examples are illustrated to prove the efficiency of the improved genetic algorithm.
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Acknowledgments
The work is supported by the National Natural Science Foundation of China (Nos. 51909087, 51679017), Research Fund of Hunan University of Science and Technology (No. E51975), Open Fund of National Engineering Laboratory of Highway Maintenance Technology (Changsha University of Science & Technology, kfj190107) and Scientific Research Projects of Hunan Education Department (18K064).
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Published In
International Journal of Geomechanics
Volume 20 • Issue 8 • August 2020
Copyright
© 2020 American Society of Civil Engineers.
History
Received: Jan 23, 2019
Accepted: Feb 24, 2020
Published online: May 27, 2020
Published in print: Aug 1, 2020
Discussion open until: Oct 27, 2020
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