搜索资源列表
ACOTSP.V1.0.rar
- 解旅行商问题的ACO算法，包括了AS，EAS，ASRANK，MMAS，ACS,ACO to slove TSP. Including AS，EAS，ASRANK，MMAS，ACS.
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
ACOTSP.V1.0
- ACO解决TSP问题(蚁群优化)源码-Solve the TSP problem ACO (Ant Colony Optimization) source!!!
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
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
ACATSP
- 经典的用于求解TSP（旅行商问题）的自适应蚁群算法-Classic self-adaptive ACO algorithm for TSP
AntSystem-WithPlay
- matlab,蚁群算法解TSP，M文件，最优解-matlab, ACO for TSP, M files, the optimal solution
aco-FashionXuBlog
- 蚁群算法解决旅行商问题的C++源码,开发环境VS。-ACO for TSP problem
TSP
- 蚁群算法求解TSP问题，附详细说明，适合初学者使用，此程序100 可用-ACO Ant Colony Optimization Artificial Intelligence
aco
- 蚁群算法解欧氏平面上的TSP问题。包括了2-opt、3-opt优化，经过了若干经典数据的测试。-AntColony algorithm solving the TSP problem in Euclid plane, including 2-opt and 3-opt optimization. It has been tested by authorized data.
ACO-TSP
- 三种蚁群算法解决TSP问题
aco
- 在visual c++下编写的ACO基本算法，实现对TSP问题的解决-In visual c++, prepared with the basic ACO algorithm, the solution to the problem of the TSP
ACO
- 求解TSP问题的蚂蚁算法，利用TSPLIB上的测试用例做测试。用C语言实现。有注释。-Ant algorithm for solving TSP problems, the use of the test cases for testing TSPLIB. With the C language. Annotated.
aco
- 蚁群软件开发 蚁群算法 针对TSP旅行商问题的仿真 利用程序仿真-Ant colony algorithm for software development, simulation using the traveling salesman problem TSP program simulation
ant
- 蚁群算法(ant colony algorithm，简称ACA)是20世纪90年代由意大利学者M．Dorigo等人首先提出来的一种新型的模拟进化算法．它的出现为解决NP一难问题提供了一条新的途径．用蚁群算法求解旅行商问题(TSP)、分配问题(QAP)、调度问题(JSP)等，取得了一系列较好的实验结果．虽然对蚁群算法研究的时间不长，但是初步研究已显示出蚁群算法在求解复杂优化问题(特别是离散优化问题)方面具有一定的优势，表明它是一种很有发展前景的方法．蚁群算法的主要特点是：正反馈、分布式计算．正反馈
ACO
- 蚁群算法的MATLAB程序 用于TSP问题-Ant colony optimization algorithm applied in the traveling salesman problem
ACO
- 蚁群算法在求解TSP问题上的应用。已经运行出来了。-Ant colony algorithm for solving TSP. Has run out.
Multi-ACO-for-TSP
- 多种群蚁群算法解决pst问题的matlab代码，很有借鉴意义-Multiple ant colony system optimization algorithm for sovling TSP problem