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Search - ant colony optimize - List
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ACOB-P
DL : 0
蚁群优化算法优化神经网络的源程序!!蚁群优化算法优化神经网络的源程序-Ant colony optimization algorithm to optimize the neural network of the source, easy to use! ! !
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: 2kb
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dw
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AntCompute
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最优化代码的开发,蚁群算法的实现以及应用于解决TSP问题-Optimize the development of the code, ant colony algorithm implementation and applied to solve the TSP
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: 78kb
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寂寞的CODER
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ACO-PID
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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 the 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 optimization, AFSA, and so on.
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昊轩
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TCP
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蚁群算法是当前研究非常火热的一种智能算法,下面的蚁群算法程序专门用于求解TSP问题,我们经过仿真检验,发现此程序的优化效率和鲁棒性都非常好。 function [R_best,L_best,L_ave,Shortest_Route,Shortest_Length]=ACATSP(C,NC_max,m,Alpha,Beta,Rho,Q)-Ant colony algorithm is very hot current research an intelligent algorithm, the following ant colony algorithm for solving TSP problem specifically, we tested through simulation and found to optimize the efficiency and robustness of this program are very good. function [R_best, L_best, L_ave, Shortest_Route, Shortest_Length] = ACATSP (C, NC_max, m, Alpha, Beta, Rho, Q)
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冯丁
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ACO
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用于全局优化的蚁群算法,可优化其他算法,用于尊求全局最优解等等,数值计算-For the global optimization of the ant colony algorithm, you can optimize other algorithms
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: 4.38mb
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石岩
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MATLAB路径规划
DL : 2
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, ant colony algorithm and ant colony optimization hybrid algorithm to optimize the path of Dijkstra size, and verified by simulation.)
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: 117kb
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窗外阴雨凉
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weimo
DL : 0
基于发现蚁群算法优化神经网络是利用蚁群算法在解空间寻找出一组最优的权值和阈值,然后将这一组解带回到神经网络进行细致优化,从而得到最好的权值和阈值。(Found that the ant colony algorithm to optimize the neural network based on Ant Colony Algorithm in the solution space to find a set of optimal weights and threshold based on, and then the group returned to the neural network with detailed optimization, the best weight and threshold to get. But this does not fundamentally solve the disadvantage that the BP algorithm is easy to fall into the local minimum, because he hat algorithm will ensure that he gets the best result? In particular, the prediction is not t)
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: 769kb
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跃跃欲
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5996蚁群算法优化PID参数
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利用蚁群算法对pid进行参数优化,里面有源代码和一些代码的注释(Using ant colony algorithm to optimize the parameters of pid, there are source code and some code annotations.)
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: 5kb
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zcw22
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