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该程序试图对具有31个城市的VRP进行求解,已知的最优解为784.1,我用该程序只能优化到810左右,应该是陷入局部最优,但我不知问题出在什么地方。请用过蚁群算法的高手指教。
蚁群算法的matlab源码,同时请指出为何不能优化到已知的最好解-The program attempts to have 31 cities of the VRP is solved, the optimal solution is known as 784.1, I use the program can only
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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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改进的蚁群算法及其在TSP问题中的应用研究核心是用遗传传算法对蚁群算法的四个参数进行优化,及运用MMAS进行巡径
-Improved ant colony algorithm and its core TSP problem is genetic propagation algorithm to optimize the four parameters of the ant colony algorithm, and the use of the MMAS patrol Trail
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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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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 s
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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
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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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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
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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,
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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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