搜索资源列表
11
- 蚁群算法 用于在图中寻找优化路径的机率型算法-Ant colony algorithm probabilistic algorithm for finding the optimal path in the graph
com
- 优化路径算法,运行一下就会知道，但不一定是最好的-Optimal path algorithm
a.txt
- 蚁群算法，用来在图中寻找优化路径的机率具有许多优良的性质-Probability of ant colony algorithm is used to find the optimal path in the graph has many excellent properties
ant_colony
- 蚂蚁算法，是一种用来在图中寻找优化路径的机率型算法。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。蚁群算法是一种模拟进化算法，初步的研究表明该算法具有许多优良的性质。-Ant algorithm is a probabilistic algorithm for finding optimal paths in graphs. It was suggested by Marco Dorigo in his doctoral thesi
cdn.tar
- spfa算法，最小费用最大流，选址问题，网络流优化路径-spfa algorithm, the minimum cost maximum flow, location problems, network flow path optimization
zykz
- 具有各类优化程序，包括路径跟踪以及最短时间等(With various optimization proceduresIncluding path tracking and the shortest possible time)
minRoute
- 能够解决网络，交通一系列的节点优化问题，很好的资料，可以看看(It can solve a series of node optimization problems of network and traffic.Very good information, you can see)
mc1
- 能算出最短路径，到下一点，快递送货策略，优化(Can work out the shortest path to the next point)
MATLAB路径规划
- 用MATLAB实现复杂环境移动机器人路径规划算法的研究，分别采用了A星算法，迪杰斯特拉算法，蚁群算法以及蚁群寻径迪杰斯特拉优化路径的混合算法，并通过仿真进行验证。(Research and implementation of complex environment of mobile robot path planning algorithm with MATLAB, respectively, using the A star algorithm, Dijkstra algorithm, an
54组章子涵-李旺泽-金灿
- 生态工业园网络路径优化，节点重要度排序，级联失效(Network path optimization of eco industrial park, node importance ranking, cascading failure)
蚁群、路径规划
- 这是一个关于使用蚁群算法的旅行路径规划问题的MATLAB优化程序(ant colony algorithm)
基于matlab算最短路径--Floyd算法
- 采用佛洛依德算法原理，解决最小路径的规划问题的matlab实现(Using Freud algorithm principle, solve the problem of the minimum path planning matlab)
MA-NSGA-II-原始
- 基于多目标遗传算法的 两点路径规划求解方法。(route searching method based on Multi- objective optimization algorithm)
蚁群算法
- 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。蚁群算法的matlab实现(Ant colony algorithm is a probabilistic algorithm for finding optimal paths. It was put forward by Marco Dori
matlab
- 可实现无冲突的最短路径分配，主要用于航空器的场面滑行过程优化(Realization of the shortest path allocation without conflict)
Python-Ant-Colony-TSP-Solver-master
- 用于路径规划的蚁群算法，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。(Ant colony algorithm for path planning)
GASA
- 运用模拟退火遗传算法解决路径优化问题，其中已给出中文注释(GASA for VPR.Simulated Annealing Genetic Algorithms (SAGA) is used to solve the problem of path optimization, in which Chinese annotations are given.)
pso_pathplanning
- 通过粒子群优化算法，通过栅格法实现移动机器人路径规划(Path Planning of Mobile Robot Based on Particle Swarm Optimization and Grid Method)
Maltlab程序
- 改进遗传算法用于多车多类型车辆的车辆路径优化(Application of improved genetic algorithm to vehicle routing optimization of multi-vehicle and multi-type vehicles)
栅格法路径规划
- 利用差分进化和粒子群优化算法在栅格地图中寻找最优路径(Using Differential Evolution and Particle Swarm Optimization to Find the Optimal Path in Raster Map)