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多载荷多工况的结构拓扑优化代码

于 2018-12-28 发布

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说明：多载荷多工况的结构拓扑优化代码，matlab实现(Structural Topology Optimization Code for Multi-load and Multi-working Conditions)

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topB.m, 5046 , 2009-09-21

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2006-04-15 00:51:23下载

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2013-10-08 09:41:12下载

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DigiPic
DigiPic 函数主要功能是将一个图片形式的表格函数,获取其数据,拟合为一个解析式. 便于计算机使用 DigiPic功能描述在matlab 2013a运行环境下,启动DigiPic 首先,导入要分析的图表照片取点建立坐标系,坐标系在取点时同时输入对应的实际坐标值, 拖拽坐标点使其位置在图片上尽量准确,便于后面坐标的自动计算. 按右键完成坐标系的建立. 在图片上原函数图线处取点.同时自动计算函数值在拟合页,导入函数数据.选择相应的拟合函数.自动计算出最佳参数. 在拟合前,可人工在函数列表中修改,设定参赛,使计算更快. 选择保存目录,保存数据.数据以excel文件保存,图片和数据文件最好放在一个目录里. excel文件数据可直接在其它分析软件中使用. 打开原分析文件时,可同时打开多个.( DigiPic function main function is to form an image in the form of a function, to get their data, fitting of an analytical style. To facilitate computer use DigiPic Description operating environment in matlab 2013a, start DigiPic First, import to be analyzed Charts Photos access point to establish a coordinate system, the coordinate system at the access point simultaneously enter the actual coordinate values corresponding to the coordinates of the point drag on the image to make it as accurate as possible location, easy to automatically calculate the coordinates back. completed by the right coordinates established. Uehara function graph in the picture at the access point. while automatically calculated in the fitting function value page data import function. choose the appropriate fitting function. automatically calculate the optimal parameters. before fitting, artificial modification in the function list, set the entry to make computing faster. choose to save)

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genetic-algorithm
遗传算法从代表问题可能潜在的解集的一个种群开始的，而一个种群则由经过基因编码的一定数目的个体组成。本代码以旅行商问题为例，详细介绍遗传算法的使用方法。(A genetic algorithm the representation of the solution set of potentially the beginning, but after a certain number of the population the gene encoding the individual components. The code to the traveling salesman problem, for example, describes the use of genetic algorithms.)

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多载荷多工况的结构拓扑优化代码

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