دوره 2، شماره 1 - ( 12-1390 )                   جلد 2 شماره 1 صفحات 81-101 | برگشت به فهرست نسخه ها


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Kazemzadeh Azad S, Kazemzadeh Azad S, Jayant Kulkarni A. STRUCTURAL OPTIMIZATION USING A MUTATION-BASED GENETIC ALGORITHM. International Journal of Optimization in Civil Engineering. 2012; 2 (1) :81-101
URL: http://ijoce.iust.ac.ir/article-1-80-fa.html
STRUCTURAL OPTIMIZATION USING A MUTATION-BASED GENETIC ALGORITHM. دانشگاه علم و صنعت ایران. 1390; 2 (1) :81-101

URL: http://ijoce.iust.ac.ir/article-1-80-fa.html


چکیده:   (4683 مشاهده)
The present study is an attempt to propose a mutation-based real-coded genetic algorithm (MBRCGA) for sizing and layout optimization of planar and spatial truss structures. The Gaussian mutation operator is used to create the reproduction operators. An adaptive tournament selection mechanism in combination with adaptive Gaussian mutation operators are proposed to achieve an effective search in the design space. The standard deviation of design variables is used as a key factor in the adaptation of mutation operators. The reliability of the proposed algorithm is investigated in typical sizing and layout optimization problems with both discrete and continuous design variables. The numerical results clearly indicated the competitiveness of MBRCGA in comparison with previously presented methods in the literature.
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نوع مطالعه: پژوهشي | موضوع مقاله: Optimal design
دریافت: ۱۳۹۱/۳/۷

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