دوره 2، شماره 4 - ( 7-1391 )                   جلد 2 شماره 4 صفحات 443-458 | 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. International Journal of Optimization in Civil Engineering. 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. دانشگاه علم و صنعت ایران. 1391; 2 (4) :443-458

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


چکیده:   (3057 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]   (2125 دریافت)    
نوع مطالعه: پژوهشي | موضوع مقاله: Optimal design
دریافت: ۱۳۹۱/۷/۲۳

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

طراحی و برنامه نویسی : یکتاوب افزار شرق

© 2015 All Rights Reserved | Iran University of Science & Technology

Designed & Developed by : Yektaweb