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工程设计学报
Chinese Journal of Engineering Design  2010, Vol. 17 Issue (6): 420-425    DOI:
    
A quick group search optimizer with passive congregation and its application in spatial structures
 LIU Feng, QIN Guang, LI  Li-Juan
Institute of Engineering Mechanics, Guangdong University of Technology, Guangzhou 510006， China
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Abstract   This paper presented a quick group search optimizer with passive congregation (QGSOPC) for optimum design of spatial pin connected structures. The algorithm was based on the quick group search optimizer (QGSO). The QGSOPC algorithm was verified and compared with the HPSO, GSO and QGSO algorithm by the numerical examples of the design of two spatial truss structures. The results show that the QGSOPC algorithm got not only preferable convergence rate and accuracy, but also the best stability. The proposed QGSOPC can be used more effectively for practical structural optimal design problems．

Key words： quick group search optimizer      structural optimization      stability      convergence accuracy      convergence rate     
Published: 28 December 2010
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Cite this article:

LIU Feng, QIN Guang, LI Li-Juan. A quick group search optimizer with passive congregation and its application in spatial structures. Chinese Journal of Engineering Design, 2010, 17(6): 420-425.

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https://www.zjujournals.com/gcsjxb/     OR     https://www.zjujournals.com/gcsjxb/Y2010/V17/I6/420


快速被动群搜索优化算法及其在空间结构中的应用

在快速群搜索优化算法QGSO(quick group search optimizer)基本原理的基础上,提出了改进的快速群搜索优化算法——快速被动群搜索优化算法QGSOPC(quick group search optimizer with passive congregation),并应用于结构优化设计.采用QGSOPC优化算法分别对空间结构进行离散变量的截面优化设计,并与QGSO优化算法、群搜索优化算法GSO(group search optimize)和启发式粒子群优化算法(HPSO)的计算结果进行比较,结果表明改进的快速被动群搜索优化算法QGSOPC与QGSO算法、GSO算法和HPSO算法相比不但具有较好的收敛精度和更快的收敛速度,而且具有很好的稳定性.该算法可有效率地应用于实际结构的优化设计.

关键词： 群搜索优化算法,  结构优化,  稳定性,  收敛精度,  收敛速度 
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