دوره 8، شماره 2 - ( 5-1397 )                   جلد 8 شماره 2 صفحات 227-246 | برگشت به فهرست نسخه ها


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Kaveh A, Dadras A. OPTIMAL DECOMPOSITION OF FINITE ELEMENT MESHES VIA K-MEDIAN METHODOLOGY AND DIFFERENT METAHEURISTICS. International Journal of Optimization in Civil Engineering. 2018; 8 (2) :227-246
URL: http://ijoce.iust.ac.ir/article-1-342-fa.html
OPTIMAL DECOMPOSITION OF FINITE ELEMENT MESHES VIA K-MEDIAN METHODOLOGY AND DIFFERENT METAHEURISTICS. دانشگاه علم و صنعت ایران. 1397; 8 (2) :227-246

URL: http://ijoce.iust.ac.ir/article-1-342-fa.html


چکیده:   (185 مشاهده)
In this paper the performance of four well-known metaheuristics consisting of Artificial Bee Colony (ABC), Biogeographic Based Optimization (BBO), Harmony Search (HS) and Teaching Learning Based Optimization (TLBO) are investigated on optimal domain decomposition for parallel computing. A clique graph is used for transforming the connectivity of a finite element model (FEM) into that of the corresponding graph, and k-median approach is employed. The performance of these methods is investigated through four FE models with different topology and number of meshes. A comparison of the numerical results using different algorithms indicates, in most cases the BBO is capable of performing better or identical using less time with equal computational effort.
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نوع مطالعه: پژوهشي | موضوع مقاله: Optimal design
دریافت: ۱۳۹۶/۶/۴ | پذیرش: ۱۳۹۶/۶/۴ | انتشار: ۱۳۹۶/۶/۴

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