摘要
基于快速群搜索优化算法QGSO(Quick Group Search Optimizer),结合Pareto最优解理论与拥挤距离机制,提出了一种适用于结构优化的简单而实用的多目标算法:多目标快速群搜索优化算法MQGSO(Multi-objective Quick Group Search Optimization),并将其应用于10杆平面桁架结构的截面优化与25杆空间桁架结构的形状优化.将MQGSO算法与已有的MGSO和IMGSO算法进行了比较,发现其非劣解均优于其他两个算法的非劣解,且具有良好的稳定性与收敛精度,收敛速度也有所提高,说明本文提出的算法用于求解结构多目标优化问题是可行有效的.
A multi-objective quick group search optimizer （MQGSO） based on quick group search optimizer was presented in the paper. The new MQGSO algorithm combined with Pareto optimal solution theory and crowding distance mechanism together, and is simple and practical for implementation in multi-objective structural optimization tasks. The MQGSO algorithm is applied to the cross-section optimization of a 10- bar planar truss structure and the shape optimization of a 25-bar spatial truss structures. Compared with the MGSO algorithm and IMGSO algorithm, the new MQGSO algorithm has good stability, high convergence precision and fast convergence rate. Moreover, it is feasible and effective for MQGSO to be used in multi-objective structural optimization design problems.
出处
《空间结构》
CSCD
北大核心
2013年第4期47-53,87,共8页
Spatial Structures
基金
国家自然科学基金资助(51178121
51108188)
广东省自然科学基金资助(S2012020011082
9151009001000059)
关键词
多目标优化
快速群搜索算法
收敛精度
桁架结构
优化设计
multi-objective optimization
quick group search optimizer
convergence precision
truss structure
structural optimal design
