长江科学院院报Issue(7)：73-76,81,5.DOI:10.3969/j.issn.i001-5485.2012.07.016
改进的遗传算法在渡槽结构优化设计中的应用
Application of Improved Genetic Algorithm in Structural Optimization Design of Aqueduct
摘要
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.关键词
遗传算法/改进/渡槽/结构优化Key words
genetic algorithm/ improvement/ aqueduct/ structural optimization分类
建筑与水利引用本文复制引用
郑重阳,彭辉,闫秦龙,刘帅..改进的遗传算法在渡槽结构优化设计中的应用[J].长江科学院院报,2012,(7):73-76,81,5.基金项目
国家自然科学基金资助项目(50909054) （50909054）
三峡大学研究生科研创新基金资助项目(2011CX005) （2011CX005）
