搜索资源列表
ACS
- matlab编写的蚁群优化tsp程序，很不错，希望大家喜欢-ant colony optimization matlab prepared tsp procedures, very good, I hope everyone likes
aco-v1.1
- 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.
yqsf
- 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
matlab-pid
- 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.
ant
- 遗传融合的自适应蚁群算法最优PID控制研究-Genetic fusion of adaptive ant colony algorithm optimal PID control
PID-Matlab
- 基于蚁群算法的PID参数优化matlab实现源码，参数优化，人工智能。-PID parameters based on ant colony optimization matlab source implementation, parameter optimization, artificial intelligence.
ASPID(1)
- 很好的源码，蚁群算法解决PID，值得一看-A good source, ant colony algorithm to solve PID, worth a visit
YICHUAN-pid
- 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
chaos-improved-ACO-in-PID
- 混沌改进蚁群算法以及其在船舶锅炉压力控制PID中的应用研究-Chaos improved ant colony algorithm, as well as in ship boiler pressure control PID
ACO_NEW
- 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。-Ant colony algorithm is a simulated evolutionary algorithm, preliminary studies show that the algorithm has many excellent properties f
Ant-colony-optimization
- 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.
ACOpID
- 寻优控制参数，利用新型算法，模仿大自然生物觅食行为的蚁群算法，在MATLAB环境下进行仿真实验，寻优PID控制参数。-Optimizing control parameters, using a new algorithm that mimics the natural biological foraging behavior of ant colony algorithm, simulation experiments in the MATLAB environment, optimizing
myyiqun
- 蚁群算法优化PID参数，运行myyiqun.m文件，修改数学模型在TEST文件中-Ant colony optimization algorithm PID parameters, run myyiqun.m file, modify the mathematical model TEST file
guangpan3
- 《MATLAB智能算法超级学习手册》随书光盘，《MATLAB智能算法超级学习手册》的内容主要包括马尔科夫链模型、层次分析法、粒子群算法、遗传算法、蚁群算法、鱼群算法、PID控制算法、神经网络算法等。智能算法对于很多初学者而言，有一定的困难，很难理解程序流程、数据的运算过程，因此给实际应用带来困难。本书将围绕智能算法展开综述，深入浅出地介绍和分析各类智能算法，用智能算法解决工程应用问题。-Content " MATLAB super intelligent algorithm to stu
ant-colony-algorithm-Matlab-code
- 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。该算法可用于优化问题求解。-Ant Colony Algorithm papers and source code for solving optimization problems
rengongyiqun
- 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。-Ant colony algori
suanfa
- 蚁群算法在pid的应用，可以更好的进行控制。同时还对在无法建模的环境下，能达到更好的效果。(Ant colony algorithm in the application of PID, you can better control. It can also achieve better results in an environment that can not be modeled.)
dcmotorACO
- DC motor PID tuning using ACO