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蚁群算法
- 蚁群算法/ 蚁群算法/Matlab中文论坛--助努力的人完成毕业设计.url 蚁群算法/一种快速求解旅行商问题的蚁群算法.pdf 蚁群算法/使用帮助：新手必看.htm 蚁群算法/基于改进蚁群算法对最短路径问题的分析与仿真.pdf 蚁群算法/基于改进蚁群算法的出租车路径规划算法.pdf 蚁群算法/基于改进蚁群算法的最短路径问题研究.pdf 蚁群算法/基于蚁群算法的公交路线走向模型及其求解.pdf 蚁群算法/基于蚁群算法的完全遍历路径规划研究.PDF 蚁群算法/用蚂蚁算法和模拟退火
yiqun
- 蚁群算法基本原理，改进蚁群算法等的详尽资料，很全面！-The basic principles of ant colony algorithm to improve the ant colony algorithm, such as detailed information, very comprehensive!
BB_Ants_System
- 改进的蚁群算法matlab程序，验证无误。-ant-system
AntSystem
- 此程序是用Visual C++开发的，功能是用改进后的蚁群算法解决TSP问题，可以直接在Visual C++6.0下运行。-This program s function is solving TSP question using Ant algrithm.
ant-tsp-search
- 改进的蚁群算法及其在TSP问题中的应用研究 核心是用遗传算法对蚁群算法的四个参数进行优化，及运用MMAS进行巡径-Improved ant colony algorithm and its problems in the TSP is the core of the application of genetic algorithm with ant colony algorithm to optimize the four parameters, and application of MMA
acotsp
- 改进的蚁群算法，大家可以借鉴一下，多多提下意见就好了 -Improved ant colony algorithm, we can learn about, a lot like a thank you to mention the views of the next
AntAlgorithm
- 一个蚁群算法求解邮递员路由问题（TSP）具体实现，本人在传统蚁群算法基础上进行改进，达到较高的效率-An ant colony algorithm for routing problem postman (TSP) concrete implementation, I am in the traditional ant colony algorithm based on the improvements to achieve higher efficiency
ACA
- C++蚁群算法解决TSP问题，内有详细的说明。改进了信息素更新方式，使得olive30城市的TSP例子能达到416的最小值。-C++ ant colony algorithm to solve TSP problems, with detailed instructions. Improved pheromone update methods, making olive30 city TSP example to achieve the minimum 416.
离散蚁群算法大作业
- 改进了蚁群算法ASO 使其可以处理离散问题 比如文件中的天线阵列稀疏。(modified algorithm ASO can deal with antenna array)
蚁群算法求两点间最短路径matlab代码
- 用改进蚁群算法解决城市道路交通网两点间最短路径问题，matlab源代码
改进蚁群
- 将蚁群算法应用于三维路径规划问题上，算法编程完整，注释详细，是初学者宝贵的学习材料。(The ant colony algorithm is applied to the three-dimensional path planning problem, the algorithm programming is complete, detailed notes, is a valuable learning material for beginners.)
蚁群算法
- 但由于基本蚁群算法(Basic ant colony algorithm)收敛速度慢、易陷入局部最优,所以很多改进的蚁群算法被提出,补偿本身的缺点,在实际应用中也得到了很好的效果(However, due to the slow convergence speed of Basic ant colony algorithm and easy to fall into local optimum, many improved ant colony algorithm is proposed to
蚁群算法智能优化
- 基于改进蚁群算法的机器人路径规划 包括路径规划、路径优化等等(Robot path planning based on improved ant colony algorithm)
基于蚁群算法的图像边缘检测
- 将改进蚁群算法应用于图像边缘检测，模拟进化算法,主要采用信息素来进行方向的选择,通过全局性的搜索得到较优解。(The improved ant colony algorithm is applied to image edge detection and simulation evolutionary algorithm, which mainly uses information prime to select the direction, and the better solution is
课程论文
- 将普通蚁群算法和最大最小蚂蚁改进蚁群算法作比较，实现了最短路径规划，含有文章和代码，可以运行，值得一看，是我的一个课程论文。(Comparing the common ant colony algorithm with the maximum ant ant improved ant colony algorithm, the shortest path planning is realized. It contains articles and code. It can run. It is
改进的蚁群算法
- 在蚁群算法的基础上进行改进，使优化效果更加明显(On the basis of ant colony algorithm, the optimization effect is more obvious.)
蚁群算法-精英蚂蚁
- 对蚁群算法的一种改进，选取精英蚂蚁，使算法更为高效准确(An improvement of ant colony algorithm is to select elite ants to make the algorithm more efficient and accurate.)
蚁群算法 约束条件下
- 对有约束的优化问题．提出了一种改进的蚁群算法．将罚函数策略引入算法中，自动调节惩罚比，避免过度惩罚。算法构造了蚁群适应函数．结合局部搜索策略引导蚂蚁找到解空间中有希望的区域。经过一系列算例测试。证明算法对这些问题的求解是有效的。
基于蚁群算法的三维路径规划算法
- 基于蚁群算法的三维路径规划算法，是传统蚁群算法，改进后可以发论文(Three dimensional path planning algorithm based on ant colony algorithm is a traditional ant colony algorithm, which can be improved and published)
混合改进蚁群算法matlab源程序
- 混合改进蚁群算法matlab源程序。其中，MainSim文件为主函数，此程序为基于自适应信息素、决策变量高斯变异和决策变量边界自调整三种改进的混合改进蚁群算法程序。其中，自适应信息素改进代码在ACOUCP文件的143-152行；决策变量高斯变异在GaussMutation文件；决策变量边界自调整改进代码在MainSim文件的40-49行。