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yiqunsuanfa
- 蚁群算法解决单目标函数优化问题。并通过作图的形式直观看出形象。-The ant colony algorithm to solve the single objective function optimization problem. And seen the image of the form of mapping intuitive.
abcbees
- 蜂群算法研究综述，蜂群算法是一种模仿蜜蜂繁殖采蜜等行为的新兴的群智能优化技术，并分析比较了遗传算法蚁群算法粒子群算法和蜂群算法的优缺点适用范围及性能。-Colony algorithm in, a algorithm is a kind of imitation breeding honey bees in the behavior such as emerging group of intelligent optimization technology, and compares the an
VRP
- 引入路径权重的自适应蚁群算法用于应急物资调度路径优化的Matlab代码 -The introduction of path weights adaptive ant colony algorithm for scheduling path of the emergency supplies optimized Matlab code
MATLAB
- 蚁群算法在matlab下优化10个函数的方法。其中函数有单变量多峰值，单变量单峰值的，也有多变量多峰值的函数。-Ant colony algorithm in matlab optimization function 10. Which a single variable and multi-peak function, the single peak of a single variable, but also more variable multi-peak function.
antTSP
- 蚁群智能优化算法，以解决旅行商问题为例GUI编程。-Ant colony optimization algorithm, to solve the traveling salesman problem, for example
A-compound-improved-ACO
- 一混合改进蚁群算法程序，并将其应用于函数优化中-A compound improved ACO in function optimizaition.rar
chaos-improved-ACO-
- 混沌改进蚁群算法，以及它在函数优化上的应用研究-chaos improved ACOand its applicaiton in function optimation
optimizationBook
- 讲述各种优化算法的书籍，如禁忌搜索、遗传算法、模拟退火算法、蚁群算法等-Books about various optimization algorithms such as tabu search, genetic algorithms, simulated annealing, ant colony algorithm
modern-optimization-algorithms
- 现代优化方法，包括有模拟退火，粒子群法，蚁群法，遗传算法。-the modern optimization algorithm.
001
- 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。-Ant colony algorithm (ant Colony optimization, ACO), also known as the ant algorithm is used to find the probability-based algorithm for optimal path in the graph.
VC
- 蚁群算法(ant colonyoptimization，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技术。它由MarcoDorigo于1992年在他的博士论文中引入，其灵感来源于蚂蚁在寻找食物过程中发现路径的行为。-Ant colony algorithm (ant colonyoptimization, ACO), also known as the ant algorithm is used to figure the probability of technology to
imopp_5_27_mom
- 用改进蚁群算法求解一类连续空空间优化问题的matlab实现 -Improved ant colony algorithm for solving a class of continuous empty space optimization problem matlab implementation
ant-colony-optimization
- matlab编写的蚁群算法，即在图中寻找优化路径的机率型算法，结合遗传算法进行了改进。-ant colony algorithm matlab prepared in the graph to find the probability-based algorithm for optimal path, combined with genetic algorithm is improved.
100
- 前推回代法的辐射状配电网潮流程序 matlab编写蚁群算法实践 粒子群工具箱PSOt 基于遗传算法配电网无功优化方法程序源代码 求解机组组合问题的多种群混沌蚁群算法-Before the backward substitution method for radial distribution power flow program Matlab to write practical particle swarm ant colony algorithm toolbox PSOt Reactive
Cchaaos_annt-
- 此源代码,是一个用C++开发的，关于混沌蚁群优优化算法，该算法是一个非常实用的算法，效果非常好 -This source code is developed one use C++ and excellent on chaotic ant colony optimization algorithm, the algorithm is a very practical algorithm, the effect is very good
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
Iant-tsp-searm
- 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
Ant-colony-algorithm-based-on-MATLAB
- 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.
ant
- 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。-The 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.
tsp
- 用蚁群原理编写的商旅路径的优化问题，可以自动绘制各种曲线图，以反应收敛的程度-With the ant colony principle to write business path optimization problem, can be automatically draw all kinds of graph, in order to response the degree of convergence