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

XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

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:   (29222 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]   (8610 Downloads)    
Type of Study: Research | Subject: Optimal design
Received: 2011/10/24 | Published: 2011/03/15

Add your comments about this article : Your username or Email:

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Iran University of Science & Technology

Designed & Developed by : Yektaweb