基于改进遗传算法的结构可靠度计算
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河北省自然科学基金项目(E2010001012)


Calculation of structural reliability based on the improved genetic algorithm
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    摘要:

    针对传统的遗传算法容易产生早熟收敛现象以及局部搜索能力较差等缺陷,结合鱼群算法中具有加快寻优速度的追尾行为和克服局部极值能力较好的聚群行为对其进行改进。将改进后的遗传算法应用到框架结构的可靠度分析中,并以门式框架结构为例,建立了以单元截面积、外荷载为设计变量,可靠度指标为目标函数的优化模型。分别采用JC法与改进遗传算法对门式框架结构的可靠度指标进行对比计算,两种算法在同一验算点不同荷载值下的可靠度指标的计算结果相近,但改进后的遗传算法在分析过程中受到的约束条件较少,简单高效。

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    In view of the drawbacks that it is prone to the phenomenon of premature convergence andits local search ability is poor, the genetic algorithm was improved by 2 operations of the fish algo-rithm:the rear end behavior which can speed up the optimal and the cluster behavior which has anexcellent ability to jump out of the local extremum. Taking the gate-shaped frame for an example,the improved genetic algorithm was applied to the reliability analysis of the frame structures. The opti-mization model was established with the unit section area and the external load as the design variablesand the reliability indices as the objective function. The results of the optimization model calculatedby the JC method and the improved genetic algorithm were similar at the same checking point underdifferent loadings,but the improved genetic algorithm performed efficiently with less constraints.

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周书敬,杨贝贝,程芳萌,郑建明.基于改进遗传算法的结构可靠度计算[J].河北工程大学自然版,2012,29(1):1-4

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  • 收稿日期:2011-11-08
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  • 在线发布日期: 2015-01-12
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