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机构地区:[1]河北工程大学土木工程学院,河北邯郸056038
出 处:《长江大学学报(自科版)(上旬)》2015年第8期51-54,66,共5页JOURNAL OF YANGTZE UNIVERSITY (NATURAL SCIENCE EDITION) SCI & ENG
基 金:河北省自然科学基金资助项目(E2012402030);河北省高校百名优秀创新人才支持计划项目(BR2-206)
摘 要:针对建筑结构体系越来越复杂,影响因素多、计算工作量大等问题,在建立结构优化的数学模型后,引入萤火虫算法对其进行优化。针对基本萤火虫算法对初始解的依赖性高、后期易陷入局部最优的缺陷,采用Logistic方程得到初始解群分布并且对计算后期的局部最优解进行高斯干扰,提高了算法的速度和精度。工程实例表明,改进的萤火虫算法在收敛速度与寻优精度方面均有所提高,该研究为结构优化设计提供了一种新的思路及方法。In order to solve the problems that building structure system is more and more complex with numerous influencing factors and computational complexity,the firefly algorithm is introduced after setting up the mathematical model of structural optimization.To avoid that the basic algorithm highly depends on the initial solution and easy to fall into local optimal solution,Logistic equation is applied to get group distribution of initial solution and Gaussian interference is introduced to after-treatment local optimal solution,which improves the speed and accuracy.Engineering examples show that the improved algorithm has higher convergence speed and accuracy of optimization results.The study provides a new way for structural optimization design.
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