搜索资源列表
de36
- 蚁群算法源（Ant colony optimization ACO)代码-ant algorithm source (Ant colony optimization ACO) code
tsp_pso
- tsp 粒子群算法修正源码， 参考：大连理工大学 谷超 2009年硕士学位论文 “改进的ACO和PSO算法在TSP中的应用” *郭文忠1，陈国龙1，洪玉玲2 .求解TSP问题的动态邻域粒子群优化算法.漳州师范学院学报(自然科学版) -modified particle swarm optimization tsp source code, reference: Dalian University of Technology master s degree thesis Vall
ACOTSP.V1.0.tar
- aco for TSP problem source code
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.
ACO.ZIP
- ACO algorythm. This software package provides an implementation of various Ant Colony Optimization (ACO) algorithms applied to the symmetric Traveling Salesman Problem (TSP). The ACO algorithms implemented are Ant System, Elitist Ant System, MAX-MIN
simple-cPP
- clustering using ant colony algoritham (aco) source code-clustering using ant colony algoritham (aco) source code
aco
- 对蚁群算法的设计规则的介绍并附上c++的源代码-Introduce the ant colony algorithm design rules, and attach a C++ source code
antc
- 其主要内容包括蚁群算法的思想起源、研究现状及机制原理；蚁群算法的复杂度分析；蚁群算法的收敛性证明；蚁群算法参数对其性能的影响；蚁群算法的参数选择原则；离散域和连续域蚁群算法的若干改进策略；蚁群算法在多个优化领域的典型应用；蚁群算法的硬件实现技术；蚁群算法与其它仿生优化算法的比较与融合；蚁群算法的研究展望；最后还在附录部分给出了基本蚁群算法的程序源代码和相关网站。.-Its main contents include the origin of ant colony algorithm idea,
The-ACO
- 蚁群算法的源代码，里面既包含有源文件，又有用来测试的文档数据！-Group of algorithm source code, which only contains the active file, but also used to test the document data.
ACO
- this is a code for UCTP using ACO, this code is not complete-this is a code for UCTP using ACO, this code is not complete...
AFSA
- 人工鱼群算法C++源代码，可与蚁群、粒子群算法对比。-AFSA C++ source code, which can contrast with ACO, PSO.
ACO-for-shortest-path
- 数学建模 蚁群算法最短路径通用Matlab程序-Ant Colony Algorithm for shortest path Matlab source code
aco
- 蚁群算法实例，蚁群算法源代码，能够很好的理解蚁群算法。-Examples of the ant colony algorithm, ant colony algorithm source code, can be well understood ant colony algorithm.
ACO---Code-
- 蚁群算法和遗传算法的源码，性能比较，有搜索过程的界面显示，MFC框架-Ant colony optimization and Genetic Algorithm for TSP，developed in MFC
ant-colony-algorithm(ACO)
- 蚁群算法实现TSP问题，代码由MATLAB编写，可直接运行，直接修改初始城市数据即可-Ant colony algorithm TSP problem, the code is written in MATLAB can be directly run, the data can directly modify the initial cities
aco
- 蚁群算法是现代优化算法，这个是直接可以编译通过的蚁群算法求解51城市的TSP问题的MATLAB源代码 -Ant colony algorithm is a modern optimization algorithm, which is directly compiled by the ant colony algorithm to solve the 51 cities of the TSP problem MATLAB source code
QAP-ACO
- ACO codes for QAP problem Matlab code
SALBP-data-sets
- ACO code for implementation.
ACO程序 含数据示例
- 蚁群算法，内含详细的代码和数据。亲测可用(Ant colony algorithm with detailed code and data)