搜索资源列表
ants
- 蚁群算法连续域空间寻优：基于网格划分策略，无约束非线性最优问题程序实例
GAant
- 基于栅格划分的环境中,研究了机器人路径规划问题中蚁群系统的“外激素”表示及更新方式,并将遗传算法的交叉操作结合到蚁群系统的路径寻优过程中,提高了蚁群系统的路径寻优能力,为蚁群算法的应用提供了一种新的探索。
ant
- 一种可运行的最优路径蚁群算法,可以用于机器人路径寻优等方向-An optimal path running ant colony algorithm, robot path can be used to find the direction of Excellence
22w3323
- 基于matlab的蚁群算法程序代码---自寻优-Ant colony algorithm based on matlab code--- self-optimizing
ACOpID
- 寻优控制参数，利用新型算法，模仿大自然生物觅食行为的蚁群算法，在MATLAB环境下进行仿真实验，寻优PID控制参数。-Optimizing control parameters, using a new algorithm that mimics the natural biological foraging behavior of ant colony algorithm, simulation experiments in the MATLAB environment, optimizing
ant-matlab-code
- 蚁群算法求解连续函数最优解的代码。学习蚁群算法寻优的必要法宝-ant matlab code for studying
ACS
- 改进蚁群算法，简单实用，适合初学者学习，可用于路径寻优-Colony algorithm, simple and practical, suitable for beginners to learn, can be used for route optimization
ACO
- 一个基于matlab的ACO(人工蚁群)寻优算法例程，通过修改适应度函数可以完成不同的寻优任务，可用于开发改进算法或与其他智能优化算法进行对比。-A matlab-based ACO (artificial ACO) algorithm optimization routines, by modifying the fitness function optimization can perform different tasks that can be used to develop impro
ant_colony_algorithm
- 基于matlab的蚁群算法寻优计算，亲自测试可以使用，方便大家学习蚁群算法-Matlab-based ant colony optimization algorithm for computing personally test can be used to facilitate learning ant colony algorithm
蚁群算法matlab程序
- 利用蚁群在搜索食物源的过程中体现出来的寻优能力来解决离散系统中的一些优化问题(Some optimization problems in discrete systems are solved by using ant colony optimization capability in searching for food sources)
wurenji
- 地震后对复杂区域的划分等高图，然后判断无人机最优寻迹，优化蚁群算法(After the earthquake, the division of complex areas such as high map, UAV tour)
蚁群
- 蚁群算法路径寻优，具有GUI界面，可以运行(Ant colony algorithm path optimization, with GUI interface, can run.)
ACS
- 最大最小蚁群算法寻优优化，对路径的距离进行优化。(The algorithm optimizes and optimizes the maximum and minimum ant colony algorithm, and optimizes the distance of the path.)
Antcycle
- 基于蚁群算法的路径规划，栅格法，双向路线寻优，包含栅格程序，能运行(Ant colony algorithm based path planning, grid method, two-way route optimization, including raster program, can run)
蚁群算法的TSP优化
- 基于基础蚁群算法的TSP寻优，包括信息素更新方法，禁忌表使用更新(TSP optimization based on basic ant colony algorithm, including pheromone updating method, tabu table updating)
蚁群算法程序完成 31 个城市的 TSP 问题寻优
- 该程序使用蚁群算法完成了31个城市的TSP寻优,完全靠本人自己编写,调试,最终可以取得不错的效果,完成还可以进一步优化,使用者可以试着优化.