搜索资源列表
aco
- 蚁群算法 用来求解旅行商问题的经典算法-ant colony algorithm
ant
- 蚁群算法 city31为输入数据文件。-City31 ant colony algorithm for the input data files.
ACOTSP.V1.0
- ACO解决TSP问题(蚁群优化)源码-Solve the TSP problem ACO (Ant Colony Optimization) source!!!
antcolony
- 蚁群算法C程序比较多分多个程序,可以进行单独运行-Ant colony algorithm C program in several more procedures, you can run a separate
ACATSP
- 运用蚁群算法求解运营商的问题 有较详细的中文注释-Ant Colony Algorithm for the use of operators in more detail the issue of Chinese Notes
yiqun
- 几个蚁群算法源代码打包，文件里为网页格式，希望对大家有帮助-Several ant colony algorithm source code package, document format for the website, we hope to help
AntClusteri
- 蚁群算法求解聚类问题，主要是用于TSp旅行商等问题的求解。-ASO
ant
- 蚁群算法例程源代码及简介,ANT.EXE可直接点击运行，F点表示食物，H表示窝，白色块表示障碍物，+就是蚂蚁了-Ant colony algorithm and brief descr iptions of the source code routines, ANT.EXE direct click Run, F point that food, H said that Waterloo, white block, said obstacles,+ is the ant
AntTSP
- TSP问题关于蚁群最优化算法的MATLAB程序-Ant colony optimization about TSP algorithm of MATLAB
ant
- 蚁群算法 用C语言实现的。可能有一点简单。word格式，介绍比较详细-Ant colony algorithm using the C language. May be that simple. word format, introduced in more detail
ant
- 带注释的蚁群算法源代码-tsp problem code in vc++!
AntColonyAlgorithmForCC
- 蚁群算法小程序 用C++编写 同大家分享-Ant colony algorithm with a small program with C++ to prepare to share
Ant-For-QAP
- 蚁群算法求解QAP问题的源码，对于研究蚁群算法的人非常有用~-Ant Colony Algorithm for the QAP problem source, the study of ant colony algorithm are very useful ~
AntSystem
- 一个较好的蚁群MATLAB程序，附地图。-In this M-file, the implemention of ACO Algorithm is given with the support of reference papers listed. You can easily use it as following command to see the pictures of result and the iterative playing course.
ant.colony.optimization
- 运用C语言编写的蚁群算法，实现算例的优化-The use of C language ant colony algorithm, optimization examples to achieve
1111
- 基于典型的TSP问题的蚁群算法C版源程序-TSP problem based on a typical ant colony algorithm C source version of
path
- 蚁群路径算法的matlab源代码，可以实现的-Ant path algorithm matlab source code, can be achieved
wer
- 随着我国经济的迅速发展和信息技术的进步,物流行业已经被确定为我国国民经济的重要产业和经济发展的新增长点,其中物流配送路径的优化是物流系统中的关键一环,选择合理经济的配送路线可以极大的降低配送成本,提高配送效率,增加企业的经济效益。 本文以如何科学的解决配送路径的优化问题为出发点,分析比较了各种算法在解决VRP中的特点与利弊,由于蚁群算法有着良好的正反馈机制与较强的鲁棒性和灵活性,本文选择了蚁群算法作为解决VRP问题的算法,并结合VRP问题本身的特点,针对蚁群算法存在的过早收敛等不足进行改进,最
ant-c-0908
- 蚁群算法C程序，用于解决蚁群算法的，可以参考此程序-ant C
Antcolonyalgorithm.pdf
- 蚁群算法的理论与应用,帮助新手掌握蚂蚁算法.-Ant colony algorithm theory and application of ant algorithm to help novice to master.