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[Bio-Recognizeant

Description: 蚁群算法仿真模拟程序,用c的图形界面,直观的展示了蚁群算法的仿生学过程。为读者了解改算法有直接的指导意义-ant colony algorithm simulation program, c graphical interface, and visual display of the ant colony algorithm Bionics process. For readers to understand the algorithm change is directly guiding significance
Platform: | Size: 37876 | Author: zy | Hits:

[Bio-Recognizeant

Description: 蚁群算法仿真模拟程序,用c的图形界面,直观的展示了蚁群算法的仿生学过程。为读者了解改算法有直接的指导意义-ant colony algorithm simulation program, c graphical interface, and visual display of the ant colony algorithm Bionics process. For readers to understand the algorithm change is directly guiding significance
Platform: | Size: 37888 | Author: zy | Hits:

[AI-NN-PRant_colony_optimation

Description: 这是一个非常好用的蚂蚁算法(蚁群算法)模拟程序,很好用噢,快来试试吧-This a very user-friendly ant algorithm (ant colony algorithm) simulation program, easy to use Oh, Come and try!
Platform: | Size: 36864 | Author: 夏下 | Hits:

[AI-NN-PRCsharpTSP

Description: Csharp实现蚁群算法解决TSP问题,主要是一种模拟生物的进化:用信息素来引导蚂蚁向比较好的方向前进.是学习该算法的很好的参考源码-CSharp realize ant colony algorithm to solve TSP problems, primarily a simulation of biological evolution: the use of information has always been a better guide the ants to the direction. Is the study of the algorithm is a good reference source
Platform: | Size: 5120 | Author: tony | Hits:

[Otherantnet-1.1-src

Description: 用OMNET++仿真蚁群的源码,是无线传感器网络仿真的一个重要工具-With OMNET++ The source ant colony simulation, wireless sensor network simulation is an important tool
Platform: | Size: 43008 | Author: heheh | Hits:

[AI-NN-PRGenetic_and_Ant_Algorithms_src

Description: 遗传和蚁群算法改进源代码,对于研究仿真算法非常有用.可以深刻了解遗传和蚁群算法原理.采用VC6.0,通过编译和调试-Genetic and ant colony algorithm to improve the source code, simulation algorithm for studying very useful. Can be a deep understanding of genetic and ant colony algorithm. Using VC6.0, through the compiler and debugger
Platform: | Size: 3048448 | Author: duanhu | Hits:

[matlabant

Description: 蚁群算法采用matlab开发的仿真平台:算法实现,路径显示,人机交互控制等-Ant colony algorithm using matlab simulation platform developed: algorithm, path shows that human-computer interaction control
Platform: | Size: 302080 | Author: QGP | Hits:

[AI-NN-PRantcolony

Description: 程序名称:蚁群觅食模拟 程序介绍: 本程序模拟自然界蚂蚁寻找食物并带回自己窝的过程,栩栩如生的再现了单个蚂蚁的灵活性和整体蚁群的智能涌现。关于用几条简单规则涌现生命现象的信念得到了进一步加强验证。用户可以自定义地图,从而让蚂蚁有机会与复杂的地形环境打交道,地形越复杂,蚂蚁的智能特性越能体现出来。-Name: ant foraging simulation program description: This procedure simulated natural ants to find food and back to their own process of Waterloo, lifelike reproduction of a single ant the flexibility and the emergence of a whole ant colony smart. With a few simple rules on the emergence of the phenomenon of life and beliefs have been further enhanced authentication. Users can customize the map, so that ants have a chance to deal with complex terrain environment, more complex terrain, ants more intelligent features can be reflected.
Platform: | Size: 235520 | Author: 李保 | Hits:

[Communication-Mobileswarm

Description: 能在 ns-2 下模拟出一个使用 swarm 算法通讯的网络,关键字: aco, ant colony, swarm computing-In ns-2 under the simulation of a swarm algorithm for the use of communications networks, keyword: aco, ant colony, swarm computing
Platform: | Size: 1042432 | Author: Dennis | Hits:

[Mathimatics-Numerical algorithmsdd

Description: 蚁群算法仿真因特网中的路由选择,给出正常情况、节点阻断和路径拥塞等不同情况下的最优路径选择与更新实现,仿真结果能够提供可视化的过程模拟-Simulation of Ant Colony Algorithm for Routing in the Internet, given normal circumstances, and the path blocked node under different circumstances, such as congestion of the optimal path selection and update the realization of simulation results can provide visualization of the process simulation
Platform: | Size: 122880 | Author: lx | Hits:

[Mathimatics-Numerical algorithms080502

Description: 基于MATLAB的蚁群算法仿真研究 :介绍了基于MATLAB的蚁群算法仿真研究。对佛罗里达州六城市旅行商问题进行了MATLAB仿真,计算结果显示,作为新型 进化算法,蚁群算法能够解决复杂组合优化问题。-Ant colony algorithm based on MATLAB Simulation: This paper introduces the ant colony algorithm based on the MATLAB simulation. Six Cities of Florida conducted a traveling salesman problem MATLAB simulation, the calculation results show that, as a new type of evolutionary algorithms, ant colony algorithm to solve complex combinatorial optimization problem.
Platform: | Size: 286720 | Author: 张学利 | Hits:

[matlabAntColonyAlgorithmMatlabProgram(AlreadyRunning).ra

Description: 蚁群算法 matlab程序(已运行),有源代码,和详细的说明文件,matlab仿真的数据及参数输入的值都一给定好。学习蚁群算法的最好的代码了。-Ant colony algorithm matlab program (already running), active code, and detailed documentation, matlab simulation data and parameter input values are a given good. Ant colony algorithm to learn the best code.
Platform: | Size: 5120 | Author: xj | Hits:

[Algorithmvbfrance_FOURMIS___Page

Description: simulation of ant colony
Platform: | Size: 39936 | Author: Hamza | Hits:

[Algorithmant

Description: 蚁群算法的模拟实现。-Simulation and Realization of ant colony algorithm.
Platform: | Size: 5120 | Author: 李小伟 | Hits:

[matlabdou

Description: QoS组播路由蚁群算法 matlab 仿真实现源码-QoS Multicast Routing Simulation ant colony algorithm matlab source
Platform: | Size: 2048 | Author: 法法 | Hits:

[matlabAntColonyAlgorithmforSolvingQoSRoutingProblem

Description: 在状态转移规则的基础上,局部更新规则和全局更新的蚁群算法的规则,我们提出一个IM证明蚂蚁的最低成本的服务质量蚁群算法(QoS)的路径用于解决网络路由问题与延迟以及背包约束中进行模拟。约52.33%蚂蚁找到成功的QoS路由。并收敛到最佳。-based on the state transition rule,the local updating rule and the global updating rule of ant colony algorithm ,we propose an im proved ant colony algorithm of the least cost quality of service(QoS)unicast routing.The algorithm is used for solving the routing problem with delay.delay jitter.bandwidth,and packet lOSS constrained. In the simulation,about 52.33 ants find the Successful QoS routing .and converge to the best. It is proved that the algorithm is efficient and effective.
Platform: | Size: 176128 | Author: lifei | Hits:

[AI-NN-PRAnt-colony-algorithm-based-on-MATLAB

Description: 通过matlab仿真和验证蚁群算法在PCB板检测时路径的优化问题。附带蚁群算法代码以及仿真结果。-Through MATLAB simulation and validation of ant colony algorithm in PCB plate detection route optimization problem.thisfile include ant colony algorithm codes and simulation results.
Platform: | Size: 112640 | Author: 姜伟 | Hits:

[AI-NN-PRAnt-Colony-Algorithm-PPT

Description: 蚁群算法原理介绍及应用 改进的蚁群算法 蚁群优化算法仿真-Introduction and application of the principle of ant colony algorithm improved ant colony optimization algorithm simulation
Platform: | Size: 501760 | Author: 方方 | Hits:

[AI-NN-PRant-colony-algorithm

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
Platform: | Size: 1451008 | Author: | Hits:

[AI-NN-PRImproved-Ant-Colony-Optimization

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.
Platform: | Size: 2742272 | Author: | Hits:
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