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    Determination of the Critical Slip Surface Using Artificial Fish Swarms Algorithm

    Source: Journal of Geotechnical and Geoenvironmental Engineering:;2008:;Volume ( 134 ):;issue: 002
    Author:
    Y. M. Cheng
    ,
    L. Liang
    ,
    S. C. Chi
    ,
    W. B. Wei
    DOI: 10.1061/(ASCE)1090-0241(2008)134:2(244)
    Publisher: American Society of Civil Engineers
    Abstract: The 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.
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      Determination of the Critical Slip Surface Using Artificial Fish Swarms Algorithm

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    http://yetl.yabesh.ir/yetl1/handle/yetl/53291
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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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