دوره 2، شماره 4 - ( 7-1391 )                   جلد 2 شماره 4 صفحات 458-443 | برگشت به فهرست نسخه ها

XML English Abstract Print


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

Zeng S, Li L. PARTICLE SWARM-GROUP SEARCH ALGORITHM AND ITS APPLICATION TO SPATIAL STRUCTURAL DESIGN WITH DISCRETE VARIABLES. IJOCE 2012; 2 (4) :443-458
URL: http://ijoce.iust.ac.ir/article-1-106-fa.html
PARTICLE SWARM-GROUP SEARCH ALGORITHM AND ITS APPLICATION TO SPATIAL STRUCTURAL DESIGN WITH DISCRETE VARIABLES. عنوان نشریه. 1391; 2 (4) :443-458

URL: http://ijoce.iust.ac.ir/article-1-106-fa.html


چکیده:   (21611 مشاهده)
Based on introducing two optimization algorithms, group search optimization (GSO) algorithm and particle swarm optimization (PSO) algorithm, a new hybrid optimization algorithm which named particle swarm-group search optimization (PS-GSO) algorithm is presented and its application to optimal structural design is analyzed. The PS-GSO is used to investigate the spatial truss structures with discrete variables and is tested by truss optimization problems. The optimization results are compared with that of the HPSO and GSO algorithm. The results show that the PS-GSO is able to accelerate the convergence rate effectively and has the fastest convergence rate among these three algorithms. The research shows the proposed PS-GSO algorithm can be effectively applied to optimal design of spatial structures with discrete variables.
متن کامل [PDF 239 kb]   (7222 دریافت)    
نوع مطالعه: پژوهشي | موضوع مقاله: Optimal design
دریافت: 1391/7/23 | انتشار: 1391/7/24

ارسال نظر درباره این مقاله : نام کاربری یا پست الکترونیک شما:
CAPTCHA

بازنشر اطلاعات
Creative Commons License این مقاله تحت شرایط Creative Commons Attribution-NonCommercial 4.0 International License قابل بازنشر است.

کلیه حقوق این وب سایت متعلق به دانشگاه علم و صنعت ایران می باشد.

طراحی و برنامه نویسی : یکتاوب افزار شرق

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

Designed & Developed by : Yektaweb