Description: 利用C++编写蚁群优化算法解决51城市旅行商问题-prepared Ant Colony Optimization Algorithm for 51 city Traveling Salesman Problem Platform: |
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Description: 采用C++语言编写最大最小蚁群优化算法程序，解决问题-using C language largest smallest ant colony optimization algorithm to solve problems Platform: |
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Description: 一种基于蚁群聚类的径向基神经网络
提出了一种基于蚁群聚类算法的径向基神经网络. 利用蚁群算法的并行寻优特征和挥发系
数方法的自适应更改信息量的能力,并以球面聚类的方式确定了径向基神经网络中基函数的位置,
同时通过比较隐层神经元的相似性、合并相似性较为接近的2 个神经元来约简隐含层的神经元,以
达到简化径向基神经网络结构的目的. 实验比较了几种不同聚类算法的径向基神经网络,结果表
明,所提神经网络的整体训练时间至少可缩短40 ％ ,学习的准确率可提高1 ％以上,而且网络结构
更加精简.-An Ant clustering RBFNN presents a clustering algorithm based on the ant colony RBFN Liaison. Ant use the parallel algorithm optimization features and volatile coefficient method of adaptive changes in the volume of information, spherical cluster and the method of RBF neural network-based functions of the position, By comparing the same time hidden layer neurons of similarity, Merger similarity is closer to the two neurons to Jane about the hidden layer neurons, to achieve simplification RBF neural network structure purposes. Experimental comparison of several different clustering algorithm RBF neural network, The results show that the neural network's overall training time can be shortened at least 40%. Learning the accuracy rate can be increased by 1%, and the network is more streaml Platform: |
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Author:zhxj |
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Description: 蚁群算法优化ＰＩＤ参数．．只运行ant.m这个文件就行了-Ant Colony Algorithm Optimization of PID parameters. . Run only ant.m the document on the list Platform: |
Size: 5120 |
Author:张学进 |
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Description: 该程序是有关蚁群算法多学科优化的程序，能够解决多目标优化问题-The program is the ant colony algorithm for multi-disciplinary optimization procedures to solve multi-objective optimization problem Platform: |
Size: 301056 |
Author:罗常 |
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Description: 《Ant Colony Optimization》Marco Dorigo写的一本关于蚁群算法的书。包括AS、ACS、EAS、ASRank、MMAS的讲解。很好的一本书。-Ant Colony Optimization Marco Dorigo wrote a book about ant colony algorithm. Including AS, ACS, EAS, ASRank, MMAS explanation. A very good book. Platform: |
Size: 1944576 |
Author:nxliliang |
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Description: This MATLAB implementation computes a correspondence between two shapes based on ant colony optimization (ACO). The input shapes can be either two 2D contours (open or closed) or two arbitrary sets of 2D points. Platform: |
Size: 38912 |
Author:cheikh |
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Description: 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 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, artificial fish-swarm algorithm, and so on. Platform: |
Size: 2048 |
Author:张望 |
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Description: 基于蚁群算法的PID控制参数优化Matlab源码-PID Control Based on Ant Colony Optimization Algorithm for Matlab source Platform: |
Size: 5120 |
Author:天道酬勤 |
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Description: 基于蚁群算法的PID控制参数优化Matlab源码,步骤详细，附有说明。-PID Control Based on Ant Colony Optimization Algorithm for Matlab source, the steps in detail, with explanation. Platform: |
Size: 2048 |
Author:程玉昆 |
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Description: 基于蚁群算法的PID控制参数优化Matlab源码-PID control algorithm based on ant colony parameter optimization Matlab source Platform: |
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Author:M_Jaunty |
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Description: tinyos 蚁群算法(ant colony optimization, ACO)，又称蚂蚁算法，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.针对PID控制器参数优化设计问题,将蚁群算法设计的结果与遗传算法设计的结果进行了比较,数值仿真结果表明,蚁群算法具有一种新的模拟进化优化方法的有效性和应用价值-The tinyos ant colony algorithm (ant colony optimization, ACO), also known as ant algorithm the the probability type algorithm is a method for finding the optimal path in the graph. By Marco Dorigo in his doctoral thesis in 1992, inspired by the behavior of ants found in the process of looking for food path. Ant colony algorithm is a simulated evolutionary algorithm, preliminary studies show that the algorithm has many excellent properties for the PID controller parameters to optimize the design problem, the design of ant colony algorithm and genetic algorithm design compared with numerical simulation results The results show that the ant colony algorithm with a new simulated evolutionary optimization method effectiveness and value Platform: |
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Author:Sofunzhao |
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Description: 蚁群算法优化PID控制器,采用三种评价指标函数IAE、ITAE、ITSE来进行对比分析.-Ant colony optimization algorithm PID controller, using three evaluation function IAE, ITAE, ITSE for comparative analysis. Platform: |
Size: 4096 |
Author:杨燕霞 |
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Description: 基于蚁群算法的PID控制参数优化Matlab源码，很有用哟！-Based on the ant colony algorithm PID control parameters optimization Matlab source, very useful yo! Platform: |
Size: 2048 |
Author:feng |
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Search - ant colony optimization PID