An Improved Particle Swarm Optimization Algorithm with Harmony Strategy for the Location of Critical Slip Surface of Slopes

• Published in: China ocean engineering Vol. 25; no. 2; pp. 357 - 364
• Main Author: 李亮 褚雪松
• Format: Journal Article
• Language: English
• Published: Heidelberg Chinese Ocean Engineering Society 01.06.2011; School of Civil Engineering, Qingdao Technological University, Qingdao 266033, China
• Subjects: Algorithms; China; Coastal Sciences; Engineering; Fluid- and Aerodynamics; Marine; Marine & Freshwater Sciences; Numerical and Computational Physics; Ocean engineering; Oceanography; Offshore Engineering; Optimization; Position (location); Simulation; Slip; Slopes; Strategy; Technical Notes; 临界滑动面; 位置; 和谐; 搜索策略; 敏感; 最佳值; 粒子群优化算法; limit equilibrium method; slope stability analysis; particle swarm optimization algorithm; harmony strategy
• ISSN: 0890-5487; 2191-8945
• DOI: 10.1007/s13344-011-0030-9

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.