期刊文献+

基于模糊罚函数遗传算法的高层建筑基础优化设计研究 被引量:5

Study on Optimal Design of High-rise Buildings Foundation Based on Genetic Algorithm with Fuzzy Penalty Function
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摘要 基于遗传算法中处理约束条件使用的传统罚函数方法效果并不理想,本文提出了一种处理约束优化问题的模糊罚函数遗传算法,并在高层建筑的上部结构与地基基础共同作用的基础上,将其应用于高层建筑的桩箱基础的优化设计问题,工程实例证明其不仅能改善基础受力情况,而且具有较大的经济效益。 Because GA is a stochastic searching method, there are large differences between GA and the traditional methods, in dealing with constraints and the traditional methods are not suited for the integration with GA. In this paper, a fuzzy theory is used to deal with the constraint conditions and the fuzzy penalty function GA, that is a new method, was presented. This method is used in optimal design of engineering structure, and the effect is proved very good.
出处 《水利与建筑工程学报》 2003年第4期5-8,12,共5页 Journal of Water Resources and Architectural Engineering
基金 国家自然科学基金(50179023) 国家教育部<高等学校骨干教师资助计划>资助项目。
关键词 高层建筑 优化设计 模糊罚函数 遗传算法 桩箱基础 fuzzy penalty function GA constraint optimization pile box foundation optimal design
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参考文献3

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二级参考文献3

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共引文献11

同被引文献28

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