搜索资源列表
ant-tsp
- 采用基本的蚁群算法解决tsp问题。可以用来帮助了解蚁群算法。-The tsp problem with Ant colony algorithm.
yiqun
- 程序是蚁群算法的基本程序,并且此程序为c语言汇编的。-Ant Colony Algorithm
ACASP
- 蚁群算法的基本程序,可以实现学习和预测, 速度较快-AN algorithm for prediction
antinface
- 蚁群算法,关于蚁群算法的matlab仿真,蚁群算法基本算法-ant althoriam
ant
- 基本的蚁群算法,实现基本功能,注释比较全面-Basic ant colony algorithm, the basic functions
fun1
- 蚁群算法的基本实现,其中有随机表示的样子,可以-Ant Colony Algorithm
Ant_clony_of_alogrithm
- 基本蚁群聚类算法及其改进算法[带Matlab源代码] 该算法,解决了不收敛的问题,聚类效果非常好(效果图如附件图片所示)。 改进的蚁群算法是基于遗传算法的改进,在基本遗传算法的基础之上,加入了变异因子, 产生变异,从而更快的收敛。 -The basic ant clustering algorithm and its improved algorithm with Matlab source code of the algorithm to solve the non-con
AntClony-Matlab
- 蚁群算法在matlab中的模拟,基本调试成功,请高手指点~-Ant colony algorithm in matlab simulation, basic debugging success, experts urged to
rengongzhineng
- 里面包含粒子群算法,蚁群算法,ga,rbf等基本人工智能算法,结构简单运行快,是很好的优化智能算法-Particle Swarm Optimization Algorithm
ACA_QoS_MR
- 蚁群算法解决QoS组播路由的解决方案,根据基本算例编写的代码,可自行修改。-The ant colony algorithm to solve QoS multicast routing solution, according to the basic example code written, can modify.
Research-on-Some-Novel-Bionic-Opt
- :仿生优化算法是模拟自然界中生物行为的随机搜索算法,可以用来解决现实中的许多优化问题。简要介绍了目前比 较流行的四种新型仿生优化算法(蚁群算法、微粒群算法、人工免疫算法以及人工鱼群算法)的基本原理;然后深入分析了这 些仿生优化算法的异同之处-Bionic optimization algorithms aye stochastic search methods that mimic the natural biological behavior of species.They age
Development-on-ant-colony-algorithm
- .针对蚁群算法,首先介绍其基本原理;然后讨论了近年来对蚁群算法的若干改进以及在许多新领域中的发展应用;最后评述了蚁群算法未来的研究方向和主要研究内容.-Firstly,the basic principle of ant colony algorithm is introduced.Then.a series of schemes on improving the ant colony algorithm are discussed,and the new applications are
ant-colony-algorithm-matlab
- matlab编写的蚁群算法,能够实现基本的路径优化-ant colony algorithm matlab prepared
Basic-Ant
- 最基本的蚁群算法!转自Excelhome,附大量TSPLIB数据 -The most basic ant colony algorithm! Transfer Excelhome, attached to a large TSPLIB data
Genetic-algorithm-optimization
- 遗传算法优化B P神经网络的目的是通过遗传算法得到更好的网络初始权值和阈值, 其 基本思想就是用个体代表网络的初始权值和阈值、 个体值初始化的B P神经网络的预测误差作为该个体的适应度值, 通过选择、 交叉、 变异操作寻找最优个体, 即最优的B P神经网络初始权值。除了遗传算法之外, 还可以采用粒子群算法、 蚁群算法等优化B P神经网络初始权值。-Genetic algorithm to optimize BP neural network is designed by means of g
ACATSP
- 用aca(蚁群算法)解决tsp(旅行商问题),只是基本算法,可在此基础上改进-With aca (ant colony algorithm) to solve tsp (traveling salesman problem), but the basic algorithm can be improved on the basis of this
yiqunjulei
- 改进的蚁群算法是基于遗传算法的改进,在基本遗传算法的基础之上,加入了变异因子,产生变异,从而更快的收敛-Improved ant colony algorithm is based on improved genetic algorithm, based on the basic genetic algorithm, adding the variability factor, mutation, and thus faster convergence
yiqunsaunfamax
- 基本的蚁群算法优化函数,效果良好,安全可靠。-The basic function of the ant colony optimization algorithm, the effect of general
pic
- 基于蚁群算法的无线传感器路由算法。在基本的蚁群算法的基础上,增加蚂蚁的属性,并将能量、时延和带宽考虑进来,对蚁群算法进行优化,从而提出了基于改进蚁群算法的无线传感器网络路由算法。-Wireless sensor routing algorithm based on ant colony algorithm. On the basis of the basic ant colony algorithm, increasing ant property and energy, latency
antAlgorithm
- 这是一个蚁群算法的材料,该材料尅很好地了解蚁群算法的基本知识-This is an ant colony algorithm material that a good understanding of the basics of gram ant colony algorithm