A coupled particle swarm and harmony search optimization algorithm for difficult geotechnical problems

被引：23
|
作者：
Cheng, Yung Ming [1 ]
Li, L. [2 ]
Sun, Y. J. [1 ]
Au, S. K. [3 ]
机构：
[1] Hong Kong Polytech Univ, Dept Civil & Struct Engn, Hong Kong, Hong Kong, Peoples R China
[2] Qing Dao Technol Univ, Sch Civil Engn, Qing Dao, Peoples R China
[3] Benaim Ltd, Hong Kong, Hong Kong, Peoples R China
来源：
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION | 2012年 / 45卷 / 04期
关键词：
Particle swarm; Harmony; Objective function; Global optimization; Control variables; Soft band; CRITICAL FAILURE SURFACE; SIMPLE GENETIC ALGORITHM; SLOPE STABILITY ANALYSIS; LOCATION;
D O I：
10.1007/s00158-011-0694-z
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Many solutions in geotechnical problems are the result of optimization analysis. There are many practical engineering problems where the objective function is non-convex, discontinuous with the presence of multiple strong local minima, and the classical optimization methods may sometime be trapped by the local minimum during the analysis. In this paper, a coupled optimization method is proposed for such difficult cases. The mixed optimization algorithm can takes the advantage of different algorithms, and the proposed algorithm is demonstrated to be effective and efficient in solving a very complicated hydropower problem with a high level of confidence. The proposed method can further be applied to different kinds of difficult engineering problems.
引用
收藏
页码：489 / 501
页数：13
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