搜索资源列表
ACO-TSP
- 利用蚁群算法解决旅行商问题，其中运用智能蚂蚁算法-Using Ant Colony Optimization Algorithm to solve Traveling Salesman Problem
aco
- aco求解TSP问题解决代码，是个比较基本的原理实验，大家可以参考下-aco solving TSP problem-solving code, is a relatively basic principle experiment, we can refer to the following
aco
- 蚁群算法的c++实现程序，是一个求解tsp的简单的例子-Ant colony algorithm implementation c++ program is a simple example of solving tsp
4
- 介绍了一种高效的改进型PSO算法，北理教授发表，国内著名核心期刊收录。-Introduces an efficient improved PSO algorithm, the North Professor published in famous journals included the core.
aco
- matlab编的蚁群算法解TSP问题（att48），调整参数可解决多类问题。-matlab code of ant colony algorithm for solving TSP problems (att48), adjust the parameters to resolve multi-class problems.
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-PSO
- 蚁群算法（ACO）和粒子群算法（PSO）的混合算法解决旅行商问题（TSP）的matlab代码-Ant colony optimization (ACO) and particle swarm optimization (PSO) of the hybrid algorithm to solve traveling salesman problem (TSP) in matlab code
aco
- 蚁群算法实现tsp问题的解，适合初学者使用-Ant colony optimization tsp solution of the problem, for beginners
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
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
ACO-TSP
- 运用ACO解决tsp问题，运用城市坐标可以检测tsp问题的正确性。-Use ACO to solve tsp problem, the use of the city coordinates can detect the the tsp problem of correctness.
TSP问题代码
- 本文是以旅行商问题为研究点，利用蚂蚁算法优化求解最短路径，平台工具是具有绘图功能的matlab软件。(This paper takes traveling salesman problem as the research point, and uses ant algorithm to optimize the shortest path. The platform tool is matlab software with drawing function.)
ACO-TSP
- 蚁群算法求解TSP问题，注释较全，非常适合新手学习。(Ant colony algorithm for TSP problem)
ACO算法
- 蚁群优化算法，可用于解决一人旅行商等问题。(Ant colony optimization algorithm can be used for TSP and other issues)
TPS ANT
- 使用蚁群算法解决TSP问题，python2.7(solve TSP with ACO algorithm)
ACO
- 蚁群算法是一种新型的模拟进化算法，鉴于目前国内尚缺乏这一方面的研究，其研究刚刚开始，远未像遗传算法、模拟退火算法等算法那样行程系统的分析方法和坚实的数学基础，有许多问题有待进一步研究，如算法的收敛性、理论依据等更多细致的工作还有待于进一步展开。(The ant colony algorithm is a novel simulated evolutionary algorithm, given the current lack of the research on this aspect, th
ACO for TSP
- 蚁群算法解决旅行商问题，能够成功运行并且有结果(Ant colony algorithm can solve the traveling salesman problem and run successfully.)
TSP
- 基本蚁群算法求解TSP，还有一种改进的最大最小蚁群算法求解，包括绘图函数(The basic ant colony algorithm for TSP, and an improved maximum and minimum ant colony algorithm, including the drawing function.)
code
- 基于蚁群算法的 TSP 求解，分别采用蚁群算法和蚁群算法-粒子群混合算法进行优化求解，使用不同的交叉和变异适应度函数更新粒子，从而实现 TSP问题的优化求解，更加逼近实际问题。(Based on the TSP solution of ant colony algorithm, ant colony algorithm and hybrid algorithm of ant colony algorithm particle swarm optimization are used to solv
蚁群算法解决TSP问题
- 利用蚁群算法解决旅行商问题，文件中包含TSP标准库各个测试如，bier127，ch130，chn31，rand50，rat99，pr107.