An improved particle swarm optimization algorithm with harmony strategy for the location of critical slip surface of slopes |
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| Authors: | Liang Li Xue-song Chu |
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| Affiliation: | (1) Department of Civil and Structural Engineering, Hong Kong Polytechnic University, Hong Kong, China;(2) School of Civil Engineering, Qing Dao Technological University, Qing Dao, China;(3) Benaim Ltd., Hong Kong, China |
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| Abstract: | The determination of optimal values for three parameters required in the original particle swarm optimization algorithm is very difficult. It is proposed that two new parameters simulating the harmony search strategy can be adopted instead of the three parameters which are required in the original particle swarm optimization algorithm to update the positions of all the particles. The improved particle swarm optimization is used in the location of the critical slip surface of soil slope, and it is found that the improved particle swarm optimization algorithm is insensitive to the two parameters while the original particle swarm optimization algorithm can be sensitive to its three parameters. |
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| Keywords: | slope stability analysis limit equilibrium method particle swarm optimization algorithm harmony strategy |
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