摘要
基于自然选择和自然基因机制的遗传算法是当前处理复杂非线性模型的一种新的优秀方法。为此,文章建立了悬臂式排桩这一基坑支护结构形式的数学模型,并运用改进遗传算法对设计参数进行优化调整;结合以实际工程资料为背景的支护案例进行优化。计算结果表明,设计参数既满足约束条件,又可降低工程造价,从而显示了该方法的有效性,具有一定的参考价值。
The genetic algorithms（GA）,which is based on natural selection and natural genetic mecha- nisms,is a new outstanding evolutionary computation method to solve complex nonlinear models. In this paper, to optimize the design parameters of the retaining structure, the mathematical model of cantilever soldier piles is established. Then the genetic algorithm is used to solve the model, which is improved by real coding, arithmetic crossover, and Gaussian approximation mutation. An application example is presented, and the results show that the parameters satisfy the constraints well and the project cost is reduced,indicating that the genetic algorithm is an effective method.
出处
《合肥工业大学学报（自然科学版）》
CAS
CSCD
北大核心
2007年第11期1516-1519,共4页
Journal of Hefei University of Technology：Natural Science
关键词
悬臂排桩
基坑支护
优化设计
遗传算法
cantilever soldier piles
foundation pit support
optimization design
genetic algorithm
