Description: 是一个基于Matlab软件的模糊C-means聚类算法原代码-Matlab is a software based on the fuzzy C-means clustering algorithm source code Platform: |
Size: 2048 |
Author:杨明 |
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Description: 1.基于Bayes分类的MATLAB程序
2.遗传算法求解函数优化
3.基于Matlab的人工免疫算法
4.空间数据分析中最常用的是聚类分析(k均值算法代码)
5.蚁群算法的matlab源码-1. Based on the Bayes classification of MATLAB procedures 2. Genetic Algorithm for Function Optimization 3. Matlab-based artificial immune algorithm 4. Spatial data analysis is the most commonly used cluster analysis (k means algorithm code) 5. Ant colony algorithm matlab source Code Platform: |
Size: 29696 |
Author:tangkezong |
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Description: This a demo program of image edge detection using ant colony, based on
the paper, "An Ant Colony Optimization Algorithm For Image Edge Detection," 基于蚁群算法的图像边缘检测。IEEE于2008收录的文章.有matlab源程序和“An Ant Colony Optimization Algorithm For Image Edge Detection”这篇PDF文章。希望对大家有一定帮助。-This is a demo program of image edge detection using ant colony, based on the paper, " An Ant Colony Optimization Algorithm For Image Edge Detection," Based on Ant Colony Optimization Image Edge Detection. IEEE in 2008 included in the article. Matlab source code and there is " An Ant Colony Optimization Algorithm For Image Edge Detection" This PDF article. Hope to assist everyone must have. Platform: |
Size: 306176 |
Author:miaosiyi |
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Description: 无约束连续函数优化的人工蚁群算法通用MATLAB源码
此源码是对人工蚁群算法的一种实现，用于无约束连续函数的优化求解，对于含有约束的情况，可以先使用罚函数等方法，把问题处理成无约束的模型，再使用本源码进行求解
-Unconstrained optimization of continuous function of artificial ant colony algorithm for general-purpose MATLAB source code。
This source code is an implementation of artificial ant colony algorithm for unconstrained optimization of continuous function to solve for the case containing the constraints, you can first use the penalty function and other methods to deal with the problem into the unconstrained model, then use the origin codes solving Platform: |
Size: 2048 |
Author:孙准 |
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Description: 此源码是对人工蚁群算法的一种实现，用于无约束连续函数的优化求解，对于含有约束的情况，可以先使用罚函数等方法，把问题处理成无约束的模型，再使用本源码进行求解，-This source code is an implementation of artificial ant colony algorithm for unconstrained optimization of continuous function to solve for the case containing the constraints, you can first use the penalty function and other methods to deal with the problem into a non-binding model, and then use the source code is solved, Platform: |
Size: 2048 |
Author:张望 |
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Description: 基于蚁群算法的PID控制参数优化Matlab源码-PID Control Based on Ant Colony Optimization Algorithm for Matlab source Platform: |
Size: 5120 |
Author:天道酬勤 |
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Description: 基于蚁群算法的PID控制参数优化Matlab源码,步骤详细，附有说明。-PID Control Based on Ant Colony Optimization Algorithm for Matlab source, the steps in detail, with explanation. Platform: |
Size: 2048 |
Author:程玉昆 |
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Description: 此源码是对人工蚁群算法的一种实现，用于无约束连续函数的优化求解，仅供学习参考。-This source code is an implementation of artificial ant colony algorithm for unconstrained optimization of continuous functions to solve the learning reference purposes only. Platform: |
Size: 5120 |
Author:涛哥 |
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Description: 基于蚁群算法的PID控制参数优化Matlab源码-PID control algorithm based on ant colony parameter optimization Matlab source Platform: |
Size: 2048 |
Author:M_Jaunty |
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Description: 关于蚁群算法(ant colony optimization)的文章和matlab源程序，原代码会让系统报错！但是并不会影响结果！，-the paper and the matlab source code for ant colony optimization Platform: |
Size: 1887232 |
Author:wangjufang |
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Description: 无约束连续函数优化的人工蚁群算法通用MATLAB源码
-The general MATLAB source of unconstrained artificial ant colony algorithm for continuous function optimization Platform: |
Size: 2048 |
Author:king |
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Description: 基于蚁群算法的PID控制参数优化Matlab源码，很有用哟！-Based on the ant colony algorithm PID control parameters optimization Matlab source, very useful yo! Platform: |
Size: 2048 |
Author:feng |
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Description: In computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems which can be reduced to finding good paths through graphs.
This algorithm is a member of the ant colony algorithms family, in swarm intelligence methods, and it constitutes some metaheuristic optimizations. Initially proposed by Marco Dorigo in 1992 in his PhD thesis, the first algorithm was aiming to search for an optimal path in a graph, based on the behavior of ants seeking a path between their colony and a source of food. The original idea has since diversified to solve a wider class of numerical problems, and as a result, several problems have emerged, drawing on various aspects of the behavior of ants. From a broader perspective, ACO performs a model-based search and share some similarities with Estimation of Distribution Algorithm. Platform: |
Size: 48128 |
Author:reyhooon
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Search - ant colony optimization matlab source