OPTIMAL DESIGN OF DOUBLE LAYER GRIDS CONSIDERING NONLINEAR BEHAVIOUR BY SEQUENTIAL GREY WOLF ALGORITHM
عنوان مقاله: OPTIMAL DESIGN OF DOUBLE LAYER GRIDS CONSIDERING NONLINEAR BEHAVIOUR BY SEQUENTIAL GREY WOLF ALGORITHM
شناسه ملی مقاله: JR_IJOCE-5-4_009
منتشر شده در در سال 1394
شناسه ملی مقاله: JR_IJOCE-5-4_009
منتشر شده در در سال 1394
مشخصات نویسندگان مقاله:
S. Gholizadeh
خلاصه مقاله:
S. Gholizadeh
The present paper tackles the optimization problem of double layer grids considering nonlinear behaviour. In this paper, an efficient optimization algorithm is proposed to achieve the optimization task based on the newly developed grey wolf algorithm (GWA) termed as sequential GWA (SGWA). In the framework of SGWA, a sequence of optimization processes is implemented in which the initial population of each process is
selected from the neighboring region of the best design found in the previous optimization process. This procedure is repeated until a termination criterion is met. Two illustrative examples are presented and optimization is performed by GWA and SGWA and two other meta-heuristics. The numerical results indicate that the proposed SGWA utperforms the other algorithms in finding optimal design of nonlinear double layer grids.
کلمات کلیدی: design optimization, nonlinear behaviour, double layer grid, meta-heuristic.
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1831532/