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contributor authorY. M. Cheng
contributor authorL. Liang
contributor authorS. C. Chi
contributor authorW. B. Wei
date accessioned2017-05-08T21:29:10Z
date available2017-05-08T21:29:10Z
date copyrightFebruary 2008
date issued2008
identifier other%28asce%291090-0241%282008%29134%3A2%28244%29.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/53291
description abstractThe writers have come across a difficult stability analysis problem where there are several “strong” local minima. Several well known heuristic global minimum methods fail to locate the global minimum for this case, and the writers finally adopt the artificial fish swarms algorithm to overcome this difficult problem. This optimization algorithm is demonstrated to be effective and efficient for normal problems. To illustrate the effectiveness of the proposed algorithm, three difficult examples are considered. The sensitivity of the proposed algorithm with respect to the parameters used for the global optimization algorithm will also be investigated in this paper.
publisherAmerican Society of Civil Engineers
titleDetermination of the Critical Slip Surface Using Artificial Fish Swarms Algorithm
typeJournal Paper
journal volume134
journal issue2
journal titleJournal of Geotechnical and Geoenvironmental Engineering
identifier doi10.1061/(ASCE)1090-0241(2008)134:2(244)
treeJournal of Geotechnical and Geoenvironmental Engineering:;2008:;Volume ( 134 ):;issue: 002
contenttypeFulltext


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