摘要
拱坝的优化设计属于复杂优化问题,其目标函数、约束条件函数都是非线性的。尽管传统优化方法较多,但都存在或多或少的缺点,影响优化结果,为此,将寻优能力很强、具有全局最优解的遗传算法应用于拱坝封拱温度场及体形综合优化中,优化实例表明,采用遗传算法的优化设计结果优于多目标非线性优化法的优化结果,且计算过程稳定,通用性强。
The optimization of arch dams is complex because its objective function and constraint conditions are non-linear. Although many conventional optimization methods already existed, these methods impose lots of disadvantages on optimal results at last. A Genetic algorithm （GA） based on float-encoding is presented and applied to Closure Temperature Field and Shape optimization of arch dams. The results of a practical project indicates that GA has an advantage over that by multi-objective non-linear programming method.
出处
《水力发电》
北大核心
2008年第1期71-74,共4页
Water Power
基金
国家自然科学基金资助项目(50679036)
关键词
遗传算法
拱坝
封拱温度场
体形
优化
genetic algorithm
arch dam
closure temperature field
shape
optimization
