Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/16252
Title: A coupled particle swarm and harmony search optimization algorithm for difficult geotechnical problems
Authors: Cheng, YM 
Li, L
Sun, YJ
Au, SK
Keywords: Control variables
Global optimization
Harmony
Objective function
Particle swarm
Soft band
Issue Date: 2012
Publisher: Springer
Source: Structural and multidisciplinary optimization, 2012, v. 45, no. 4, p. 489-501 How to cite?
Journal: Structural and Multidisciplinary Optimization 
Abstract: 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.
URI: http://hdl.handle.net/10397/16252
DOI: 10.1007/s00158-011-0694-z
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