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

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Abstract:   (20298 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.
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Type of Study: Research | Subject: Optimal design
Received: 2011/10/24 | Published: 2011/03/15