Application of Improved Group Search Optimizer in Shape Optimization of Truss Structures

ZENG  Shi-Kai; LI  Li-Juan

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

Application of Improved Group Search Optimizer in Shape Optimization of Truss Structures

更新时间：2026-05-27

- Application of Improved Group Search Optimizer in Shape Optimization of Truss Structures
- Vol. 27, Issue 2, Pages: 27-31(2010)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Online First：25 June 2010，
  
  Published：2010
- 稿件说明：
移动端阅览
曾世开, 李丽娟. 改进的群搜索优化算法在桁架结构形状优化设计中的应用[J]. 广东工业大学学报, 2010, 27(2): 27-31.

ZENG Shi-Kai, LI Li-Juan. Application of Improved Group Search Optimizer in Shape Optimization of Truss Structures[J]. 2010, 27(2): 27-31.
曾世开, 李丽娟. 改进的群搜索优化算法在桁架结构形状优化设计中的应用[J]. 广东工业大学学报, 2010, 27(2): 27-31. DOI：

ZENG Shi-Kai, LI Li-Juan. Application of Improved Group Search Optimizer in Shape Optimization of Truss Structures[J]. 2010, 27(2): 27-31. DOI：

摘要

介绍了两种改进的群搜索优化算法IGSO(Improved Group Search Optimizer)——快速群搜索优化算法QGSO(Quick Group Search Optimizer)与快速被动群搜索优化算法QGSOPC(Quick Group Search Optimizer with Passive Congregation)，并应用于离散变量桁架结构形状优化设计，包括平面和空间桁架结构．几个实例计算结果表明两种改进的群搜索优化算法(QGSO与QGSOPC)与GSO算法及已有文献方法相比具有较好的收敛精度和较快的收敛速度，只需较少的迭代次数就能寻找到最优解，并且QGSO与QGSOPC算法程序语句比GSO算法程序语句简略得多，易于编程实现，可应用于工程结构的优化设计．

Abstract

Two improved group search optimization algorithms(IGSO)，quick group search optimization(QGSO) and quick group search optimizer with passive congregation(QGSOPC)algorithm，are presented，and they are applied in shape optimization design of truss structures with discrete variables，including planar trusses and spatial trusses．Several numerical examples are given to test the IGSO algorithms．The optimization results are compared with those of the GSO algorithms and some algorithms in reference．The results show that the IGSO algorithmss have better perform ance in term s of convergence than the GSO algorithm and other algorithms，and can find the optimum solution with less iteration．Besides，compared with that of the GSO algorithm ，the IGSO algorithm program statement is much briefer，and easier to be programmed．It is desirable for IGSO to be used for structural optimal design problems．

关键词

Keywords

references

Colorni A，Dorigo M，Maniezzo V．Distributed Optimization by Ant Colonies[C]／／Proceedings of the First European Conference on Artificial Life．Paris：Routledge，Taylor ＆ Francis group，1991：134-142.

Kennedy J，Eberhart R C．Particle Swarm Optimization[C]／／Proceedings of the IEEE Conference on Neural Networks．Australia：IEEE Australia Council，1995：1942-1948.

李晓磊，邵之江，钱积新．一种基于动物自治体的寻优模式：鱼群算法[J]．系统工程理论与实践，2002，22(11)：32-38.

Eusuf M M，Lansey K E．Optimization of Water Distribution Network Design Using Shuffled Frog Leaping Algorithm[J]．Journal of Water Resources Planning and Management，2003，129(3)：210-225.

He S，Wu Q H，Saunder J R．A Novel Group Search Optimizer Inspired by Animal Behaviour[C]／／2006 IEEE Congress on Evolutionary Computation．Vancouver，BC，Canada：2006 IEEE Congress on Evolutionary Computation，2006：1257-1263.

Li Li-juan，Xu Xiao—tong，Liu Feng，et a1．The Group Search Optimizer and its Application on Truss Structure Design[C]／／Proceedings of 4th International Conference on Natural Computation．Shandong，China：Int Nat Computat＆ Knowledge Discovery Assoc，2008：688-692.

Qin Guang，Liu Feng，Li Li-juan．A Quick Group Search Optimizer and its Application to the Optimal Design of Double Layer Grid Shells[C]∥The Second International Symposium on Computational Mechanics．Hong Kong& Macao，China：IEEE Press，2009：225-230.

Qin Guang，Liu Feng，Li Li-juan．A Quick Group Search Optimizer with Passive Congregation and Its Convergence Analysis[C]／／2009 International Conference on Computational Intelligence and Security(CIS)．Beijing，China：IEEEPress，2009：249-253.

孙焕纯，柴山，王跃方．离散变量结构优化设计[M]．大连：大连理工大学出版社，1995.

石连拴，孙焕纯．离散变量结构形状优化设计的综合算法[J]．力学学报，1999，31(6)：731-738.

Wu S J，Chow P T．Intergrated Discrete and Configuration Optimization of Trusses Using Genetic Algorithm[J]．Computers& Structures，1995，55(4)：695-702.

Kaveh A，Kalatjari V．Size Geometry Optimization of Trusses by the Force Method and Genetic Algorithm[J]．Zeitschrift fur Angewandte Mathematik and Mechanics，2004，84(5)：347-357．

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

An Optimal Operation Strategy for Community Microgrid Alliances Considering Power Exchange under Multi-package Shared Energy Storage Model

A Resource Allocation Optimization Method for Multi-UAV Integrated Sensing, Computing, and Communication Towards Disaster Relief

Energy Management Strategy of Hybrid Locomotive Based on Road Condition Parameters

Research and Implementation of a Pulsed Laser Ranging Method Based on Digital Mixing

The Cross-twin Physics-informed Neural Network for Wave Equations with Conserved Quantities

Related Author

Sun Pei-ming

Gong Shan-chu

Related Institution

No data

AI问答

⁰