Volume 1, Number 1 (3-2011)                   2011, 1(1): 29-46 | Back to browse issues page


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Rahami H, Kaveh A, Aslani M, Najian Asl R. A HYBRID MODIFIED GENETIC-NELDER MEAD SIMPLEX ALGORITHM FOR LARGE-SCALE TRUSS OPTIMIZATION. International Journal of Optimization in Civil Engineering. 2011; 1 (1) :29-46
URL: http://ijoce.iust.ac.ir/article-1-6-en.html

Abstract:   (8465 Views)
In this paper a hybrid algorithm based on exploration power of the Genetic algorithms and exploitation capability of Nelder Mead simplex is presented for global optimization of multi-variable functions. Some modifications are imposed on genetic algorithm to improve its capability and efficiency while being hybridized with Simplex method. Benchmark test examples of structural optimization with a large number of variables and constraints are chosen to show the robustness of the algorithm.
Full-Text [PDF 587 kb]   (3207 Downloads)    
Type of Study: Research | Subject: Optimal design
Received: 2011/10/24

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