基于遗传算法的地下钢筋混凝土筒仓仓壁的结构优化
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摘要
地下粮仓是一种节能、节地、无污染的新型储仓结构。通过引入改进的自适应遗传算法,分析了该遗传算法的实现过程,并对地下钢筋混凝土圆形筒仓仓壁进行了结构优化。研究表明:该遗传算法的收敛速度快,优化结果可信。
Underground silo is a new energy-saving,land-saving and pollution-free storage structure. In this paper, we analyzed the realization process of an improved adaptive genetic algorithm, and optimized the structure of the underground reinforced concrete silo wall. The results showed that the improved adaptive genetic algorithm had high convergence speed,and the optimization results was credible. This paper provided theoretical support for storage and other civil engineering structural optimization,and had important practical value.
Underground silo is a new energy-saving,land-saving and pollution-free storage structure. In this paper, we analyzed the realization process of an improved adaptive genetic algorithm, and optimized the structure of the underground reinforced concrete silo wall. The results showed that the improved adaptive genetic algorithm had high convergence speed,and the optimization results was credible. This paper provided theoretical support for storage and other civil engineering structural optimization,and had important practical value.
引文
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[9]陈长征,王楠.遗传算法中交叉和变异概率选择的自适应方法及作用机理[J].控制理论与应用,2002(1):41-43.
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[13]DE JONG K A.An analys is of the behavior of a class of genetic adaptive systems[D].USA:University of Michigan,1975.
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[15]孙仁范.遗传算法在桁架结构中的优化设计中的应用[J].建筑结构学报,2004,25(3):76-77.
[16]祁继鹏.改进的遗传算法及其在地下筒仓结构优化设计中的应用[D].郑州:河南工业大学,2015.
[2]KWON Y D,KNOW S B,JIN S B,et al.Convergence enhanced genetic algorithm with successive zooming method for solving continuous optimization problem[J].Computer and Structure,2003,81(1):1715-1725.
[3]张延年,朱朝艳,董锦坤,等.采用混合遗传算法的建筑结构优化设计[J].辽宁工程技术大学学报,2006,25(5):708-710.
[4]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),2016,29(4):621-624.
[5]丁承民,张传生,刘辉.遗传算法纵横谈[J].信息与控制,1997,26(1):40-47.
[6]金菊良,魏一鸣,杨晓华.基于遗传算法的神经网络及其在洪水灾害承灾体易损性建模中的应用[J].自然灾害学报,1998,7(2):53-60.
[7]SRINIVAS M,PATNAIK L M.Adaptive probabilities of crossover and mutation in gas[J].IEEE Trans On SMC,1994,24(4):656-667.
[8]任子武,伞冶.自适应遗传算法的改进及在系统辨识中应用研究[J].系统仿真学报,2006,18(1):41-66.
[9]陈长征,王楠.遗传算法中交叉和变异概率选择的自适应方法及作用机理[J].控制理论与应用,2002(1):41-43.
[10]LI Q,HE W H,JIANG H H,et al.A study on image segmentation by an improved adaptive algorithm[C]//International Conference on Machine Learning and Cybernetics 2007,l-4244-0972-1/07 IEEE:1570-1573.
[11]毕晓东.一种改进的自适应遗传算法[J].潍坊学院学报,2007,7(4):115-116.
[12]MAHFOUD S W.A genetic algorithm for parallel simulated annealing[J].Parallel Problem Solving from Nature,1992(2):301-310.
[13]DE JONG K A.An analys is of the behavior of a class of genetic adaptive systems[D].USA:University of Michigan,1975.
[14]周正武.Matlab遗传算法优化工具箱(GAOT)的研究与应用[J].机械研究与应用,2006,19(6):69-70.
[15]孙仁范.遗传算法在桁架结构中的优化设计中的应用[J].建筑结构学报,2004,25(3):76-77.
[16]祁继鹏.改进的遗传算法及其在地下筒仓结构优化设计中的应用[D].郑州:河南工业大学,2015.