Documents disponibles écrits par cet auteur

Determination of the critical slip surface using artificial fish swarms algorithm / Y. M. Cheng in Journal of geotechnical and geoenvironmental engineering, Vol. 134 N°2 (Fevrier 2008) 

Public ISBD [article]  in Journal of geotechnical and geoenvironmental engineering > Vol. 134 N°2 (Fevrier 2008) . - pp. 244–251 Titre : Determination of the critical slip surface using artificial fish swarms algorithm Type de document : texte imprimé Auteurs : Y. M. Cheng, Auteur ; Liang, L., Auteur ; S. C. Chi, Auteur Année de publication : 2008 Article en page(s) : pp. 244–251 Note générale : Geotechnical and geoenvironmental engineering Langues : Anglais (eng) Mots-clés : Slope  stability  Algorithms  Optimization  Finite  element  method  Slip Résumé : 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. En ligne : http://ascelibrary.org/doi/abs/10.1061/%28ASCE%291090-0241%282008%29134%3A2%2824 [...] [article] Determination of the critical slip surface using artificial fish swarms algorithm [texte imprimé] / Y. M. Cheng, Auteur ; Liang, L., Auteur ; S. C. Chi, Auteur . - 2008 . - pp. 244–251. Geotechnical and geoenvironmental engineering Langues : Anglais (eng) in Journal of geotechnical and geoenvironmental engineering > Vol. 134 N°2 (Fevrier 2008) . - pp. 244–251 Mots-clés : Slope  stability  Algorithms  Optimization  Finite  element  method  Slip Résumé : 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. En ligne : http://ascelibrary.org/doi/abs/10.1061/%28ASCE%291090-0241%282008%29134%3A2%2824 [...]