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改进的自适应遗传算法在结构优化设计中的应用
引用本文:金立兵,胡颖,祁继鹏. 改进的自适应遗传算法在结构优化设计中的应用[J]. 信阳师范学院学报(自然科学版), 2016, 0(4): 621-624
作者姓名:金立兵  胡颖  祁继鹏
作者单位:河南工业大学土木建筑学院
基金项目:国家自然科学基金项目(51308194);粮食公益性行业科研专项(201413007-01)
摘    要:普通遗传算法经常出现易早熟、随机性较大、收敛速度较慢等问题,基于Sigmoid函数,提出了一种新的改进的自适应遗传算法.该算法可以有效提高收敛速度并防止算法陷入局部最优解,通过算例分析,证明了该方法的可行性和有效性.结果表明,提出的新型遗传算法可以为其在大型土木建筑结构的优化设计中的推广应用提供理论支持.

关 键 词:遗传算法  改进  自适应  结构优化  桁架

Application of Improved Adaptive Genetic Algorithm in Structural Optimization Design
JIN Libing;HU Ying;QI Jipeng. Application of Improved Adaptive Genetic Algorithm in Structural Optimization Design[J]. Journal of Xinyang Teachers College(Natural Science Edition), 2016, 0(4): 621-624
Authors:JIN Libing  HU Ying  QI Jipeng
Affiliation:JIN Libing;HU Ying;QI Jipeng;School of Civil Engineering and Architecture,Henan University of Technology;
Abstract:Common genetic algorithm had some disadvantages,such as premature convergence,greater randomness and slower convergence speed.A new improved adaptive genetic algorithm was proposed based on the Sigmoid function,and it effectively improved the convergence speed of the algorithm and avoided falling into local optimal solution.The feasibility and effectiveness of the method were proved by an example of a cantilever truss.This new genetic algorithm could provide theoretical support for its popularization and application in the structural optimization design of large civil engineering.
Keywords:genetic algorithm  improvement  adaptation  structural optimization  truss
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