搜索资源列表
TSpant
- 一种分组求解TSP问题的蚁群算法。非常经典。有助于初学者提高。-A division problem solving TSP Ant Colony Algorithm. Very classic. Help beginners improve.
ant
- 本代码用蚁群算法求解带时间窗的车辆路径问题-The code with ant colony algorithm with time window of vehicle routing problem
103244859obstacles
- 蚁群算法路径规划的一个程序,可以成功找到最优路径。-Ant colony algorithm path planning a program that can successfully find the optimal path.
VC++anttracingininversion
- 关于反演程序蚁群算法的源程序,欢迎大家共享,共同切磋-Inversion procedure on the ant colony algorithm source, welcome you to share common views and learn
lxyq
- 是关于连续蚁群算法的文章 使用后感觉很好,学到不少东西-Ant colony algorithm on the continuous use of the article feel good, learned a lot of things
MIN_MAX
- 蚁群算法的功能实现。在此算法的基础上可以并行实现-Ant colony algorithm to achieve the function. In this algorithm can be based on the Parallel Implementation
ACA
- 段海滨教授主编的《蚁群算法原理及其应用》附录里的C程序代码.-Professor Duan Haibin editor-in-chief of ant colony algorithm and its application in Appendix C in the program code.
yiqunsuanfa
- 用matlab实现的蚁群算法程序,参考学习-With the ant colony algorithm matlab realize procedures, reference study
antjava
- 蚁群算法的java实现,这个还是要经过优化一下即可。在myeclipse下实现-ant colony
yiqun
- 蚁群算法的程序,自己写的,用得着的可以-yiqun IS written by me
ant_clustring
- 蚁群算法用于已知数目的聚类问题,解决任务分配等问题-Ant colony algorithm for clustering已知数purpose of solving the task allocation
LF
- 基于MATLAB蚁群算法LF解决聚类问题源程序代码,包括文档与论文-MATLAB-based ant colony algorithm to solve clustering problem LF source code, including documents and papers
ant_colony_optimization
- 实现了一种高效的蚁群算法,它在旅行商问题中进行了测试-an effective and efficient aco
TSP
- TSP问题;蚁群算法;关键参数设置;MATLAB-MATLAB,tsp
ant_code
- java实现的基本蚁群算法,蚁群算法是一种智能算法-the realization of the ant colony algorithm java
BB_Ants_System
- 改进的蚁群算法matlab程序,验证无误。-ant-system
Hybridantcolonyalgorithm
- 混合型蚁群算法及其应用研究,很有用,很实用-Hybrid ant colony algorithm and its applied research, very useful, very practical! ! ! !
AntTsp
- 用VC++编的,用于求解蚁群算法的源程序-VC++ for use, the ant colony algorithm for solving the source
Tsp_report_ant
- 蚂蚁算法(或蚁群算法,ant colony algorithm)是由Colorni和Dorigo等人提出的一类模拟自然界蚁群行为的模拟进化算法。 这类算法主要基于以下观察:像蚂蚁这类群居昆虫,虽然没有视觉且单个行为极其简单,但由这些简单的个体所组成的群体却常常表现出令人称奇的行为——能够在复杂的环境下最终找到从蚁穴到食物源的最短路径!仿生学家经过大量细致观察与研究发现,原来蚂蚁在寻食的过程中,通过一种称之为信息素(pheromone)的物质相互传递信息。更具体地,蚂蚁在运动过程中能够在它所经
tsp
- TSP问题,用蚁群算法解决该问题,将时间复杂度降低-use ant colony to solve the TSP problem