搜索资源列表
PIDcontrowithAOC
- 除了蚁群算法,可用于PID参数优化的智能算法还有很多,比如遗传算法、模拟退火算法、粒子群算法、人工鱼群算法,等等。-In addition to ant colony algorithm can be used to optimize the PID parameters there are many intelligent algorithms, such as genetic algorithms, simulated annealing algorithm, particle swarm
aco2
- 用VC++编程,将蚁群优化算法用于电缆敷设系统,得到了较好的结果。-Using VC++ programming, ant colony optimization algorithm for cable laying system, to get good results.
535681370ACOforSHORTPATHwithMatlab
- 运用matlab程序进行基于蚁群算法的最短路的搜索,可以用于交通中最短路的搜索-Use matlab program based on the search of the shortest of the ant colony algorithm, can be used for the shortest search traffic
TSP_matlab
- 旅行商问题(TSP)是典型的NP完全问题,遗传算法是求解NP完全问题的一种常用方法。旅行商问题(TSP)的蚁群算法实现算法。在MATLAB中用遗传算法施行对TSP问题进行了求解,进行了选择、交叉和变异算子进行了算法设计。MATLAB源代码。-Traveling Salesman Problem (TSP) is a typical NP-complete problem, genetic algorithm for solving NP-complete problems, a common m
three-dimensional-path-planning
- 基于蚁群算法的三维路径规划。在三维地图上寻找最优路径!-Ant colony algorithm based three-dimensional path planning. To find the optimal path on the three-dimensional map!
nsga2
- 基于蚁群算法的无人机航路规划,在三维航路中进行航路代价估计,规划出最优路径( U57FA u4E8 u8R1 u8R1 u8121 u8121 u8221 u7229 u8E0 U4EE3 u4EF7 u4F30 u8BA1 uFF0C u89C4 u5212 u51FA u6700 u4F18 u8DEF u5F84)