Title of article :
2D Shape optimization via genetic algorithm
Author/Authors :
Moezi، Seyed Alireza نويسنده Young Researchers Club, Shiraz Branch, Islamic Azad University, Shiraz, Iran , , Zakeri، Ehsan نويسنده MSc Student , , Bazargan-Lari، Yousef نويسنده Department of mechanical engineering, Shiraz branch, Islamic Azad University, Shiraz, Iran , , Zare، Amin نويسنده Young Researchers Club, Shiraz Branch, Islamic Azad University, Shiraz, Iran ,
Issue Information :
روزنامه با شماره پیاپی سال 2014
Pages :
9
From page :
209
To page :
217
Abstract :
In this study, among different algorithms that have been introduced for obtaining optimal shapes and structures, an advanced optimization method for distinct shapes and also non-significant ones is illustrated. In order to investigate the efficiency of the method, a specific structural member (safety belt) is analyzed. The optimization process is to optimize the member via genetic algorithm, in order to have minimum weight; meanwhile having the ability to support the loading and also sustaining the generated tension stresses under the range of the allowable limit. The main goal of the present work is to focus on the existence of an optimal shape of the member optimized by genetic algorithm, having necessary conditions of optimality for a safety belt, and stability of optimal solutions under some prescribed perturbations.
Journal title :
The Journal of Mathematics and Computer Science(JMCS)
Serial Year :
2014
Journal title :
The Journal of Mathematics and Computer Science(JMCS)
Record number :
1450282
Link To Document :
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