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Description: 用蚁群算法求解TSP问题的MATLAB源码-Ant Colony Algorithm TSP
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Size: 3072 |
Author: 钱十 |
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Description: 蚁群算法,仿照蚂蚁的寻路的方式，模拟求解两点间的最短路径。一群蚂蚁在找到食物后，会将食物运回，走的是最短路线，当中路阻隔时，它们能寻找到新的最短路线-ant
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Size: 243712 |
Author: 贾宁 |
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Description: 蚁群算法MATLAB代码实现，请注意修改变量，仅供参考。-Ant colony algorithm MATLAB code, please note that the modified variable, for reference only
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Size: 2048 |
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Description: ant脚本的环境文件，这是ant脚本2015年目前最新的官网环境文件。-Environment of the ant script file, this is the ant script in 2015 is the latest website environment file.
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Size: 8305664 |
Author: 孟庆军 |
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Description: 蚁群算法及其应用
适合新手，有详细教程及一部分代码
-Ant colony algorithm and its application
For beginners, there are detailed tutorial and part of the code
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Size: 6644736 |
Author: 岳志超 |
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Description: 蚁群算法，人工智能，C++实现，可以用来学习解决TSP问题，图像拼接问题，希望对你有帮助！-Ant algorithm，it has been proved that that can help you learn or solve TSP or NP!
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Size: 3072 |
Author: 刘伟 |
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Description: 蚁群算法实现TSP问题，代码由MATLAB编写，可直接运行，直接修改初始城市数据即可-Ant colony algorithm TSP problem, the code is written in MATLAB can be directly run, the data can directly modify the initial cities
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Size: 2048 |
Author: 王宇蒙 |
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Description: 蚁群算法详解，适合求解各种小型问题，能得出预期的结果。-Ant colony algorithm explanation, suitable for all kinds of small problems to solve, can obtain the expected result
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Size: 1055744 |
Author: 李瑞 |
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Description: colony optimization, It is a
population based approach that uses the exploration of positive feedback as well as
greedy search. The proposed method was inspired natural behavior of the ant
colonies on how they find the food source and bring them back to their nest by
building the unique trail formation.-colony optimization, It is a
population based approach that uses the exploration of positive feedback as well as
greedy search. The proposed method was inspired natural behavior of the ant
colonies on how they find the food source and bring them back to their nest by
building the unique trail formation.
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Size: 20480 |
Author: Izaque Souza |
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Description: 本书系统、深入地介绍了蚁群算法的原理及其应用。-Ant Colony Algorithms：Theory and Applications
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Size: 18408448 |
Author: ShaoJuhua |
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Description: 求解函数优化问题的蚁群算法，matlab编程-Ant Search Algorithm for Function Optimization Problem
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Size: 2048 |
Author: 王小乐 |
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Description: 用matlab实现的蚁群算法的源码，附算例文件-ant algorithm
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Size: 1024 |
Author: 朱广健 |
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Description: 针对车辆的越野路径规划问题,设计了以最少行驶时间为目标的多策略蚁群算法.首先,分析了地形坡度和地表属性对于车辆路径规划的综合影响,通过叠加坡度与粗糙度约束建立了禁忌表 其次,一方面引入了自适应调整策略以提高路径搜索的有效性,另一方面设计了双向搜索策略以增加蚂蚁之间的协作能力和成功路径的搜索机率 另外,还提出了子路径多段交叉策略以提高算法的全局搜索能力和收敛速度,在详细叙述改进算法的步骤之后,优化了算法的部分参数取值 最后,就基本算法和改进算法的性能指标、收敛代数和仿真结果进行了比较与分析.实验结果表明,改进算法能够快速有效地实现越野路径规划,较之基本算法有一定的优越性.-According to the vehicle CROSS—country path planning problem，a multi—strategy ant colony algorithm with the minimum traveling time as the goal was designed．First of all，the synthesis influence of
the terrain slope and surface properties was analyzed for vehicle path planning and the table Tabu constructed by stacking constraints of slope and roughness．Secondly，on the one hand，the adaptive adj ustment
strategy is imported to improve the effectiveness of the searching paths．On the other hand，the bidirectional search strategy was designed in order to increase ants’collaboration and the probability of the
searching successful paths．In addition，the sub—paths multi—segment crossover strategy was also proposed to improve the global searching capability and accelerate the convergence speed．The improved algorithm
in detail steps was described，and the value of some parameters are optimized．Finally，the performance indicators，convergence algebra and simulation results between the basic algorit
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Size: 1451008 |
Author: |
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Description: 将改进的蚁群算法与路径几何优化相结合,用于解决移动机器人的全局路径规划问题.算法结合机器人的越障性能对移动机器人的环境空间进行建模.通过设置初始信息素加快蚂蚁的搜索速度,同时设置自适应信息素挥发机制,解决特定地图中初始信息素的干扰问题 设置自适应路径长度,筛选规划路径的优劣 提出由路径优劣程度决定的信息素散播策略,并从几何原理出发,对规划路径进行优化处理,加快最优解的收敛速度.仿真结果验证了该算法的有效性和普遍应用性,在随机给定的环境地图中,该算法能够迅速规划出最优路径.-The improved ant colony algorithm and path geometry optimization were applied to solve the global path planning problem of mobile robot．The obstacle performance was combined in the proposed algorithm to establish the workspace model of the robot．By setting the initial pheromone，the ant searching speed was accelerated，and through the adaptive pheromone mechanism，the interference problem of initial pheromone to the specific map was solved．In addition，the pros and cons of the path planning were screened by setting the adaptive path length． It was also proposed that the pheromone spreading strategy was decided by the path length． Meanwhile，according to the principle of geometry，the planning path was optimized to accelerate the convergence speed of the optimal solution．The effectiveness and universal appfication of the proposed algorithm was demonstrated by the simulation results．In the random environment map，the optimal path could be rapidly obtained with the proposed algorithm．
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Size: 2742272 |
Author: |
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Description: 蚁群算法解决旅行商问题，ant&TSP，matlab程序，智能优化算法课程资源-ant&TSP,Intelligent optimization algorithm
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Size: 478208 |
Author: 泥娃娃 |
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Description: Ant colony optimisation
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Size: 18432 |
Author: Allen Joseph |
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Description: 基于蚁群算法的图像边缘检测,使用matlab运行，亲测，可以使用-Image Edge Detection Based on ant colony algorithm using matlab run, pro-test, can be used
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Size: 19456 |
Author: men |
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Description: 蚁群算法的最短路径搜索，能够在栅格法的图形中自动找到最优路径-Shortest Path ant colony algorithm searches
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Size: 2048 |
Author: 丁津 |
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Description: 该文件详细介绍了蚁群算法，不仅有代码，还有数据，并且还附带蚁群算法的介绍PPT，很有用的，是学习的好算法。-Ant colony algorithm was introduced in detail the file, not only the code, and data, and also with ant colony algorithm is introduced PPT, very useful, is good to learn algorithm.
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Size: 265216 |
Author: xiaohuiyu |
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Description: 利用蚁群算法寻找以下10个城市的TSP最短路径。
10个城市的X、Y坐标分别为：（0.1,0.6）、（0.2,0.3）、（0.4,0.1）、（0.5,0.5）、（0.7,0.2）、（0.8,0.4）、（0.2,0.8）、（0.5,0.9）、（0.7,0.6）、（0.9,0.8）。
要求输出最短路径顺序及其长度，以及蚁群算法迭代过程中的最短路径长度进化曲线。
-Ant colony algorithm to find the following 10 cities TSP shortest path.
X, Y coordinates of the 10 cities were: (0.1,0.6), (0.2,0.3), (0.4,0.1), (0.5,0.5), (0.7,0.2), (0.8,0.4), (0.2, 0.8), (0.5, 0.9), (0.7,0.6), (0.9, 0.8).
The shortest path required output sequence and its length, and the ant colony algorithm iterations shortest path length evolution curve.
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Size: 2048 |
Author: cxy |
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