搜索资源列表
TSP
- TSP问题是经典的寻优问题 也是人工智能里一个重要的问题 我编写的程序主要是用蚁群算法来解决这个问题。蚁群算法是人工智能里用来寻优的重要算法 由于蚁群算法的优点使得TSP问题能够实现。 -The TSP problem is a classical optimization problem is also an important problem in artificial intelligence programs written in my main is to use ant colo
ant
- 基于蚁群算法、dijkistra算法障碍物避碰路径寻优的算法-Ant colony algorithm, dijkistra obstacle avoidance algorithm path optimization algorithm
tsp
- 蚁群算法和遗传算法相融合，将遗传算法和蚁群算法相结合，在寻优过程中发挥各自的优势，克服各自的不足。-Ant colony algorithm and genetic algorithm integration, the genetic algorithm and ant colony algorithm combined to play their respective advantages in the optimization process, to overcome their defic
ACO_Algorithm
- 蚁群算法的源代码，在路径寻优及多目标非线性优化问题上都有很强的优势。-Ant colony algorithm source code, in the path of multi-objective optimization and nonlinear optimization problem has a strong advantage.
MMAS
- 改进的蚁群算法并应用与旅行商问题，相比于没有改进的蚁群算法来说，这个算法能更好的对旅行商寻优问题，寻优结果也挺满意，希望感兴趣的可以借鉴一下。-Improved ant colony algorithm and application of the traveling salesman problem, compared to no improvement ant colony algorithm, this algorithm can better optimization of the tr
lwuc6
- 蚁群算法,使用Renyi熵寻优,快速寻找最优解()