Description: 蚁群算法，主要是模拟蚁群是怎样寻找到最短路径的-Ant colony algorithm is mainly simulated ant colony is how to find the shortest path Platform: |
Size: 3072 |
Author:sun |
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Description: 用MATLAB编写的蚁群算法最短路径寻找程序，压缩包内包含了网络结点坐标。-The preparation of the ant colony algorithm using MATLAB to find the shortest path procedure, compressed package that contains a network node coordinates. Platform: |
Size: 2048 |
Author:MXJ |
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Description: 基本蚁群算法，主要做的是最短路径，请大家修改后应用-Basic ant colony algorithm, the main job of the shortest path, let us apply the modified Platform: |
Size: 7168 |
Author:fox |
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Description: 蚁群算法，其中D为最短距离矩阵，可以高效地实现最优化路径的搜索。-Ant colony algorithm, where D is the shortest distance matrix, can efficiently achieve the most optimal path search. Platform: |
Size: 1024 |
Author:静 |
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Description: Dynamic job shop scheduling problem is one form of a job shop scheduling problem with varying arrival time job or not concurrent. This problem can be represented in graph form, which is to seek the shortest path from start point to destination point. One solution that can be used is with the ant colony optimization algorithm. There are three method to input the job : xls file, matriks, and atrractive dialog. Platform: |
Size: 56320 |
Author:Bharath |
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Description: 改进蚁群算法求两点间最短路径，基于matlab-Improved ant colony algorithm for the shortest path between two points, based on matlab Platform: |
Size: 9216 |
Author:lizhong |
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Description: 采用改进的蚁群智能算法，得到车辆最短路径问题快速有效的局部最优解。-The improved ACO to obtain the shortest path problem vehicle fast and effective local optima. Platform: |
Size: 2048 |
Author:aks tan |
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Description: This is an application of ant colony optimization. ACO is used to find the shortest path Platform: |
Size: 3072 |
Author:Bikash kumar sahoo |
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Description: This code is for solving traveling salesman problem using ant colony algorithm.Ant Colony Optimization (ACO) is a population-based approach for solving
combinatorial optimization problems that is inspired by the foraging behavior
of ants and their inherent ability to fi nd the shortest path a food source
to their nest. -This code is for solving traveling salesman problem using ant colony algorithm.Ant Colony Optimization (ACO) is a population-based approach for solving
combinatorial optimization problems that is inspired by the foraging behavior
of ants and their inherent ability to fi nd the shortest path a food source
to their nest. Platform: |
Size: 1024 |
Author:uja |
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Description: 本文是以旅行商问题为研究点，利用蚂蚁算法优化求解最短路径，平台工具是具有绘图功能的matlab软件。(This paper takes traveling salesman problem as the research point, and uses ant algorithm to optimize the shortest path. The platform tool is matlab software with drawing function.) Platform: |
Size: 12288 |
Author:lm521
|
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Description: 采用改进的蚁群智能算法，得到车辆最短路径问题快速有效的局部最优解。(The improved ACO to obtain the shortest path problem vehicle fast and effective local optima.) Platform: |
Size: 1024 |
Author:moveon5 |
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Search - ACO shortest path