搜索资源列表
ACOKP1227
- 加入贪婪策略和遗传算法中的变异策略的混合蚁群算法-Join the greedy strategy and mutation strategy of ant colony algorithm
ACOmatlab
- 蚁群算法的Matlab程序,用于连续函数优化-Ant colony algorithm Matlab program for continuous function optimization
yiqunjulei
- 改进的蚁群算法,基于遗传算法的改进,解决不收敛的问题。-Improved ant colony algorithm, based on genetic algorithm to solve non-convergence problems.
antcolony
- 利用蚁群算法解决旅行商问题,可以自主写入城市坐标,返回最佳路径和平均路径。-with the help of ant colony algorithm to solve the TSP problem. And the best route and the average length of routes will be returned.
Matlab
- 蚁群算法最短路径通用Matlab程序蚁群算法动态寻路算法-Shortest path algorithm for general ant colony algorithm Matlab program Dynamic Algorithm for Route
aritificial-ant-algorithms-for-TSP
- 应用双种群蚁群算法解决TSP问题,计算速度快,准确率高-Application of ant colony algorithm to solve TSP double population problem, computational speed, high accuracy
ant-MATLAB-code
- 与蚁群算法相关的MATLAB源码,主要解决路径规划、最大值、TSP问题-Associated with the ant colony algorithm MATLAB source code, mainly to solve the TSP problem, the maximum robot path planning
AntSystem-WithPlay
- 蚁群算法的matlab编程源代码,是一种用来在图中寻找优化路径的机率型技术。(It is a probabilistic technique for finding optimal paths in a graph.)
蚁群算法
- 完整蚁群算法实现三维山地路径规划,无bug(Three dimensional path planning based on ant colony algorithm)
yiqun
- matlab求解TSP问题的蚁群算法基础代码,适合初学者入门学习使用(Matlab TSP algorithm for solving the ant colony algorithm based code, suitable for beginners to learn to use)
蚁群算法
- 蚁群算法求解旅行商问题,一个经典程序,可以求出较优解(ant colony algorithm)
蚁群算法TSP问题
- 典型的matlab求运行商问题,可以看到进化曲线和线路计算过程。(The typical matlab asks the operator problem, and you can see the evolution curve and the line calculation process.)
蚁群算法
- 路径规划是水下潜器智能控制的关键技术之一,其任务是在已知障碍物的环境中按照某一 最优指标寻找一条从起始点到目标点的无碰路径。使用蚁群算法对水下潜器三维空间路径规划问 题进行了研究,以 ACS 算法为基础设计了路径优化搜索算法,详细讨论了信息素表示方法、路径 点选取原则、启发式函数设计和信息素更新规则,给出了算法的具体流程,仿真实验结果表明, 该算法能够方便有效的实现三维空间中的路径规划。(Path planning is one of the key technologies of unde
newant2
- 栅格法建立静态环境模型,用蚁群算法实现最短路径(The static environment model is set up by the grid method, and the shortest path is realized by ant colony algorithm)
蚁群算法
- 蚂蚁算法 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。蚁群系统(Ant System或Ant Colony System)是由意大利学者Dorigo、Maniezzo等人于20世纪90年代首先提出来的。他们在研究蚂蚁觅食的过程中,发现单个蚂蚁的行为比较简单,但是蚁群整体却可以体现一些智能的行
TSP Matlab程序
- 蚁群算法是当前研究非常火热的一种智能算法,下面的蚁群算法程序专门用于求解TSP问题,此程序由GreenSim团队于2006年初完成,最初公开发表于研学论坛,我们经过仿真检验,发现此程序的优化效率和鲁棒性都非常好。(Ant colony algorithm is an intelligent algorithm very hot current research, the special program of ant colony algorithm for solving the TSP pro
蚁群算法
- 利用蚁群算法实现VRP问题,本算法较为优良,有很好的时间效率(The realization of VRP problem using ant colony algorithm, this algorithm is more excellent, have a good time efficiency)
matlab 蚁群算法
- 蚁群算法算例,全国大学生数学建模以及美国大学生数学建模常用算法教程(This is an arithmatic which is often used in math modeling competitions.)
2780472_14c44afa8098c842ecc21ca5b13c1b12
- 用蚁群算法求解两点间最短路径问题,matlab代码(Ant colony algorithm is used to solve the shortest path between two points, matlab code)
Aco
- 用蚁群算法 计算城市之间的最短路线 求出最短距离(Ant Colony Algorithm to calculate the shortest route between cities to find the shortest distance)