Description: 网络多播是现在研究的热点问题，本程序使用免疫蚁群算法优化网络多播路由-Multicast network is now a hot research problem, the ant colony algorithm using the immune network optimization multicast routing Platform: |
Size: 2048 |
Author:zhaojie |
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Description: AntColony Optimization --- Artificial Ants a Computational Intelligence Technique
蚁群算法大牛编写的书籍，对于想了解蚁群算法的人有很大帮助-AntColony Optimization- Artificial Ants a Computational Intelligence Technique Daniudi ant colony algorithm to prepare the books, the ant colony algorithm would like to know people are very helpful Platform: |
Size: 860160 |
Author:张鹤峰 |
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Description: 蚁群算法，使用Renyi熵寻优，快速寻找最优解-Ant colony algorithm, the use of Renyi entropy optimization, fast search for the optimal solution Platform: |
Size: 36864 |
Author:高圆圆 |
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Description: 蚁群算法解欧氏平面上的TSP问题。包括了2-opt、3-opt优化，经过了若干经典数据的测试。-AntColony algorithm solving the TSP problem in Euclid plane, including 2-opt and 3-opt optimization. It has been tested by authorized data. Platform: |
Size: 13312 |
Author:sunli |
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Description: 蚁群算法是一种模仿蚁群行为的仿生优化算法，其实现机理包括两个基本阶段：适应阶段和协作阶段。在适应阶段，各可行解根据积累的信息不断调整自身结构，路径上经过的蚂蚁越多，信息量越大，则该路径越容易被选择：时间越长，信息量越小。在协作阶段，各可行解之间通过信息交流，以期望产生性能更好的解。-Ant colony algorithm is a mimic ant colony behavior of bionic optimization algorithm, its implementation mechanism includes two basic stages: adaptation and collaboration. In adaptive phase, the feasible solution according to the accumulated information constantly adjust their structure, path through the more the ants, the greater the amount of information, it is the easier path is chosen: the longer the time, the smaller the amount of information. The collaboration stage, through the exchange of information between the feasible solution, expecting to generate better solutions. Platform: |
Size: 1024 |
Author:小东 |
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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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