【摘要】 传统的遗传算法存在寻优效率较低、精度不高等缺点。为了解决这些问题,对传统遗传算法进行了改进——采用Fortran语言编制结构优化程序,并将改进后的遗传算法应用于大型预应力矩形渡槽优化设计中。通过对比原设计方案与优化方案的结构安全性及经济性,验证了优化设计方案具有显著的经济效益。结果表明,改进后的遗传算法提高了计算性能和优化效果。更多还原

【Abstract】 Traditional genetic algorithm has defects such as low optimization efficiency and low precision.We improved this algorithm by compiling a structural optimization program through Fortran language.The improved genetic algorithm was applied to the optimization of the design for a large-scale prestressed rectangular aqueduct.By comparing the original design with the optimized design in terms of safety and economy,we verified the feasibility of the optimized scheme.It’s proved that the optimized algorithm improves the convergence rate and accuracy of the solution.In the optimized design,each part of the aqueduct meets the stress and strain condition,and the three-dimensional mechanical behavior of the structure is more reasonable.The results demonstrate that the structural optimization reduces the construction costs and improves the structural behavior.更多还原