文件名称:ant-colony-algorithm
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2016-07-31
- 文件大小：
- 438kb
- 下载次数：
- 0次
- 提 供 者：
- 张*
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
详细介绍了蚁群算法，并提供了相关案例分析。是学习蚁群算法的好资料。-Ant colony algorithm was introduced in detail, and provides the related case analysis. Is the study of ant colony algorithm is a good information.
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下载文件列表
蚁群算法\aca_color.m
........\ACO.m
........\anatsp\ACATSP.m
........\......\DrawRoute.m
........\ant.m
........\AntSystem-WithPlay\ACO.m
........\..................\att48.tsp
........\..................\bays29.tsp
........\..................\berlin52.tsp
........\..................\ch150.tsp
........\..................\gr96.tsp
........\..................\pr76.tsp
........\..................\readme.txt
........\..................\st70.tsp
........\..................\ulysses16.tsp
........\..................\ulysses22.tsp
........\..................\Ulyssess22.jpg
........\camera128.bmp
........\func_ant_colony_image_edge_detection.m
........\KNNalgorithm\averageM.m
........\............\knn.m
........\match\AM.m
........\.....\AntColony.m
........\.....\BilinearInterpolation.m
........\.....\BrentOptimize.m
........\.....\CalculateMI.m
........\.....\ct.bmp
........\.....\CubicConvolutionInterpolation.m
........\.....\EdgeDetect.m
........\.....\Edge_Detect.m
........\.....\GA.m
........\.....\GoldSectionOptimize.m
........\.....\hough_CircleDetect.m
........\.....\Hough_LineDetect.m
........\.....\ImageRotate.m
........\.....\ImageShift.m
........\.....\ImageTransfer.m
........\.....\ImageZoom.m
........\.....\lena.bmp
........\.....\lena1.bmp
........\.....\line.bmp
........\.....\LineDetect.m
........\.....\line_circle.bmp
........\.....\NearestInterpolation.m
........\.....\ParabolicInterpolationMethod.m
........\.....\PartialVolumeInterpolation.m
........\.....\PointDetect.m
........\.....\Powell.m
........\.....\RunInterpolation.m
........\.....\sample\ct.bmp
........\.....\......\Fusion.m
........\.....\......\GLPF.m
........\.....\......\ImageRegistration.fig
........\.....\......\ImageRegistration.m
........\.....\......\lena.bmp
........\.....\......\line.bmp
........\.....\......\OneDimensionSearch.m
........\.....\......\OpenImage.fig
........\.....\......\OpenImage.m
........\.....\......\Powell.m
........\.....\......\PV.m
........\.....\Zero_Crossing.m
........\mayi.m
........\QosRoutine.m
........\Thumbs.db
........\.SP蚁群算法\1.fig
........\...........\30城市TSP问题数据与最优解.mat
........\...........\442TSP问题数据与算法对比.mat
........\...........\75城市TSP问题数据.mat
........\...........\adapting.m
........\...........\initial.asv
........\...........\initial.m
........\...........\keepbest.m
........\...........\main.asv
........\...........\main.m
........\...........\paint.m
........\...........\ph_fresh.asv
........\...........\ph_fresh.m
........\...........\result.m
........\...........\search.asv
........\...........\search.m
........\★TSP双种群蚁群算法\1.fig
........\...................\30城市TSP问题数据与最优解.mat
........\...................\442TSP问题数据与算法对比.mat
........\...................\75城市TSP问题数据.mat
........\...................\adapting.m
........\...................\communication.m
........\...................\initial.asv
........\...................\initial.m
........\...................\keepbest.asv
........\...................\keepbest.m
........\...................\main.asv
........\...................\main.m
........\...................\paint.m
........\...................\ph_fresh.asv
........\...................\ph_fresh.m
........\...................\result.m
........\...................\search.asv
........\...................\search.m
........\蚁群算法\CacuFit.asv