contributor author | Y. M. Cheng | |
contributor author | L. Liang | |
contributor author | S. C. Chi | |
contributor author | W. B. Wei | |
date accessioned | 2017-05-08T21:29:10Z | |
date available | 2017-05-08T21:29:10Z | |
date copyright | February 2008 | |
date issued | 2008 | |
identifier other | %28asce%291090-0241%282008%29134%3A2%28244%29.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/53291 | |
description 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. | |
publisher | American Society of Civil Engineers | |
title | Determination of the Critical Slip Surface Using Artificial Fish Swarms Algorithm | |
type | Journal Paper | |
journal volume | 134 | |
journal issue | 2 | |
journal title | Journal of Geotechnical and Geoenvironmental Engineering | |
identifier doi | 10.1061/(ASCE)1090-0241(2008)134:2(244) | |
tree | Journal of Geotechnical and Geoenvironmental Engineering:;2008:;Volume ( 134 ):;issue: 002 | |
contenttype | Fulltext | |