Computational grids in evolutionary optimization of structures
Abstract
The paper is devoted to computational grids applications in evolutionary optimization of structures. The two grid middleware are used, UNICORE and LCG2. The distributed evolutionary algorithm is used for optimizataion. The fitness function is computed using finite element method. Numerical examples are presented.
Keywords
References
[1] T. Burczyński, W. Kuś. Distributed evolutionary algorithms in shape optimization of nonlinear structures. Lectures Notes on Computational Science 2328, Springer, 2002.[2] T . Burczyński, W. Kuś, A. Długosz, A. Poteralski, M. Szczepanik. Sequential and Distributed Evolutionary Computations in Structural Optimization. Lecture Notes on Artificial Intelligence 3070, Springer, 2004.
[3] T. Burczyński, W. Kuś, A. Długosz, P. Orantek. Optimization and defect identification using distributed evolutionary algorithms, Engineering Applications of Artificial Intelligence 17 (4): 337- 344, 2004.
[4] T. Burczyński, W. Kuś, Optimization of structures using distributed and parallel evolutionary algorithms Parallel Processing and Applied Mathematics, PPAM2003, Revised papers, Lecture Notes on Computational Sciences 3019, Springer, 572-579, 2004.
[5] Condor, High Throughput Computing, http://www.cs.wisc.edu/ condor/
Published
Nov 30, 2022
How to Cite
KUŚ, Wacław.
Computational grids in evolutionary optimization of structures.
Computer Assisted Methods in Engineering and Science, [S.l.], v. 12, n. 2-3, p. 175-182, nov. 2022.
ISSN 2956-5839.
Available at: <https://cames.ippt.pan.pl/index.php/cames/article/view/987>. Date accessed: 27 july 2024.
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