Description: matlab程序实现 最短路径问题 最短路径问题是图论研究中的一个经典算法问题， 旨在寻找图（由结点和路径组成的）中两结点之间的最短路径-matlab program to achieve the shortest path problem shortest path problem is the study of graph theory, a classical algorithm for the problem, aimed at finding a plan (by the node and path composed of) two nodes of the shortest path between Platform: |
Size: 2048 |
Author:孙子平 |
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Description: 蚁群算法 适合寻找最优问题，实现最短路径。-Ant colony algorithm for finding the optimal problem, the realization of the shortest path. Platform: |
Size: 3072 |
Author:孙根本 |
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Description: 该程序运用蚁群算法，具体为蚁群的寻路过程进行图像分割，针对普通图像跟MRI图像进行轮廓提取，效果不错，值得学习！-The program using ant colony algorithm, specifically for the colony s way-finding process of image segmentation, for the general outline of the image with the MRI image extraction, good results, it is worth learning! Platform: |
Size: 280576 |
Author:成林 |
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Description: 基于改进的蚁群算法的机器人路径规划及壁障 能找寻最有路径-Improved ant colony algorithm based on robot path planning and barrier to finding the best path Platform: |
Size: 4096 |
Author:白杨 |
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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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Description: 蚁群算法是一种用来寻找优化路径的概率型算法。它由Marco Dorigo于1992年在他的博士论文中提出，其灵感来源于蚂蚁在寻找食物过程中发现路径的行为。
这种算法具有分布计算、信息正反馈和启发式搜索的特征，本质上是进化算法中的一种启发式全局优化算法。蚁群算法的matlab实现(Ant colony algorithm is a probabilistic algorithm for finding optimal paths. It was put forward by Marco Dorigo in his doctoral dissertation in 1992, which is inspired by the behavior of ants in finding food in the process of finding food.
This algorithm has the characteristics of distributed computing, positive feedback and heuristic search. In essence, it is a heuristic global optimization algorithm in evolutionary algorithm. Matlab implementation of ant colony algorithm) Platform: |
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Author:那拍拍 |
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