GROUP SEARCH OPTIMIZATION FOR DESIGN OF SPACE TRUSSES
This paper introduces a novel optimization algorithm, group search optimization (GSO) algorithm. The implementation method of this algorithm is presented in detail. The GSO is used toinvestigate truss structures with continuous variables and was tested by a planar truss optimization problem. The optimization results were compared with that of the particle swarm optimizer (PSO),the particle swarm optimizer with passive congregation (PSOPC) and the heuristic particle swarm optimizer (HPSO). Results from the tested case illustrate the ability of the GSO to find the optimal results. Test results show GSO has better convergence rate than that of the PSO and PSOPC, and has the same convergence level as that of HPSO.
Group search optimization algorithm Structure optimization Convergence accuracy Convergence rate
Feng Liu Xiao-Tong Xu Li-Juan Li
Faculty of Construction Engineering, Guangdong University of Technology, Guaogzhou 510006 P.R. China
国际会议
第十届国际结构工程青年学者研讨会(The Tenth International Symposium on Structural Engineering for Young Experts)
长沙
英文
854-858
2008-10-19（万方平台首次上网日期，不代表论文的发表时间）