作　　者： ; ; ;

机构地区： 广东工业大学土木与交通工程学院

出　　处： 《工程力学》 2010年第7期38-44,共7页

摘　　要： 在群搜索优化算法GSO(Group Search Optimize)基本原理的基础上,提出了改进的群搜索优化算法——快速群搜索优化算法QGSO(Quick Group Search Optimize),并应用于结构优化设计。算法的改进主要有3个方面:第一,当算法不前进时,适当加大游荡者的数目;第二,引进粒子群算法(PSO)的搜索方式,将GSO中的角度搜索改为步长搜索,并考虑群体最优值和个体最优值;第三,引入遗传算法,通过个体最优值与群体最优值的杂交重新生成游荡者。采用QGSO优化算法分别对平面和空间桁架结构进行了离散变量的截面优化设计,并与GSO优化算法和启发式粒子群优化算法(HPSO)的计算结果进行了比较,结果表明:该文改进的群搜索优化算法QGSO与GSO算法和HPSO算法相比具有较好的收敛精度和更快的收敛速度,可应用于工程结构的优化设计。 Based on the basic principles of an optimization algorithm, a group search optimization （GSO） algorithm, an improved GSO, named quick group search optimizer （QGSO）, are presented to deal with structural optimization design tasks. The improvement has three main aspects： first, increase the number of ‘ranger’ when the target stops going forward; second, use the search strategy of PSO by considering the best group member and the best personal member, and employ the step search strategy to replace the visual search strategy; third, reproduce the ‘ranger’ with hybrid of the group best member and the personal best member. The QGSO is used to investigate the planar and space truss structures with discrete variables. The calculation results are compared with that of the GSO and HPSO. The results show that the QGSO has a preferable convergence rate and accuracy. It is desired for QGSO to be used for structural optimal design problems.

关 键 词： 群搜索优化算法 粒子群优化算法 结构优化 收敛精度 收敛速度

领　　域： [航空宇航科学与技术] [航空宇航科学技术]