Journal of Guangdong University of Technology ›› 2010, Vol. 27 ›› Issue (2): 27-31.

• Comprehensive Studies • Previous Articles     Next Articles

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

  

  1. Faculty of Civil and Transportation Engineering，Guangdong University ofTechnology ，Guangzhou 510006，China
  • Online:2010-06-25 Published:2010-06-25

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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．

Key words: Group search optimizer(GSO)；shape optimization；truss；convergence rate；convergence accuracy；discrete variables

[1]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．

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

[3]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．

[4]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．

[5]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．

[6]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．

[7]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．

[8]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．

[9]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．

[1O]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．

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

[12]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．
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