International Journal of Optimization in Civil Engineering
دانشگاه علم و صنعت ایران
Iran University of Science & Technology
http://ijoce.iust.ac.ir
18
agent2
2228-7558
en
jalali
1397
5
1
gregorian
2018
8
1
8
2
online
1
fulltext
en
OPTIMAL DECOMPOSITION OF FINITE ELEMENT MESHES VIA K-MEDIAN METHODOLOGY AND DIFFERENT METAHEURISTICS
Optimal design
Optimal design
پژوهشي
Research
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 <em>k-</em>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.
domain decomposition, Finite elements meshes, graph theory, optimization, metaheuristic algorithms, k-median, k-means++.
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http://ijoce.iust.ac.ir/browse.php?a_code=A-10-66-182&slc_lang=en&sid=en
A.
Kaveh
`180031947532846001295`

180031947532846001295
Yes
A.
Dadras
`180031947532846001296`

180031947532846001296
No