Volume 2, Number 4 (10-2012)                   2012, 2(4): 443-458 | Back to browse issues page


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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-en.html

Abstract:   (3050 Views)
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.
Full-Text [PDF 239 kb]   (2116 Downloads)    
Type of Study: Research | Subject: Optimal design
Received: 2012/10/14

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