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
tsp
- 用VB写的利用蚁群优化算法解决的20个点的TSP问题，给出了路径以及经过每个点的顺序。-Using VB to write the use of ant colony optimization algorithm to solve the 20 points of TSP problem, given the path and through each point order.
ACA
- C++蚁群算法解决TSP问题，内有详细的说明。改进了信息素更新方式，使得olive30城市的TSP例子能达到416的最小值。-C++ ant colony algorithm to solve TSP problems, with detailed instructions. Improved pheromone update methods, making olive30 city TSP example to achieve the minimum 416.
TSP
- matlab利用蚁群算法处理TSP问题，迭代时间较短 -matlab ant colony algorithm processing TSP, shorter iterations
ACA-----TSP
- 蚁群算法ACO应用于TSP问题，MATLAB程序代码，具有详细解释，运行正确-ACO ACO algorithm is applied to the TSP, MATLAB code, with a detailed explanation of the correct operation
Ant-TSP
- 利用改进的蚁群算法，寻找最优路径，优化了算法运行时间-The use of improved ant colony algorithm to find the optimal path optimization algorithm running time
tsp
- 蚁群算法和遗传算法相融合，将遗传算法和蚁群算法相结合，在寻优过程中发挥各自的优势，克服各自的不足。-Ant colony algorithm and genetic algorithm integration, the genetic algorithm and ant colony algorithm combined to play their respective advantages in the optimization process, to overcome their defic
Tsp
- 蚁群算法的实现TSP最短路径，实现了48个城市之间的最短路径的实现-TSP ant colony algorithm to achieve the shortest path to achieve the shortest path between the city' s 48
ACO-to-solve-TSP-problem
- 算法使用蚁群算法求解TSP问题，使得最终所需时间短，效率高。-Algorithm using ant colony algorithm for TSP problem, so that the final time is short, high efficiency.
ant
- 使用蚁群算法解决TSP问题的算法，主要利用蚁群算法特性。(Using ant colony algorithm to solve TSP algorithm.)
ACATSP
- 利用蚁群算法解决tsp问题，给定各个位置的坐标，自动给出一条路径方案(Ant colony algorithm to solve the TSP problem, given the coordinates of each location, automatically gives a path scheme)
yiqun
- matlab求解TSP问题的蚁群算法基础代码，适合初学者入门学习使用(Matlab TSP algorithm for solving the ant colony algorithm based code, suitable for beginners to learn to use)
NewAntProject
- 经典蚁群算法,用来解决基于蚁群算法的一些生活应用，例如TSP,车辆路径等问题(The classical ant colony algorithm is used to solve some living applications based on ant colony algorithm, such as TSP, vehicle routing and so on.)
PSO_TSP（混合粒子群：较优）
- 解决环球旅行问题的一种精确度比较高的算法，相较于蚁群算法和遗传算法都有较大的改进；(A high precision algorithm for solving global travel problems has a greater improvement than the ant colony algorithm and the genetic algorith)
main
- 基于C语言的蚁群算法求解tsp问题，使用邻接矩阵(Ant colony algorithm based on C language to solve TSP problem, using adjacency matrix)
对于蚁群优化算法的研究
- 解决tsp问题中的一种策略——蚁群算法，含蚁群算法过程，原理，及程序范例。(One of the strategies to solve the TSP problem is ant colony algorithm, including ant colony algorithm process, principle and program paradigm.)
8593ec8fa2e2
- 有效解决旅行商问题，与遗传算法相互结合。优化路线(Solve the traveling salesman problem effectively)
Python-Ant-Colony-TSP-Solver-master
- 用于路径规划的蚁群算法，蚁群算法是一种用来寻找优化路径的概率型算法。它由Marco Dorigo于1992年在他的博士论文中提出，其灵感来源于蚂蚁在寻找食物过程中发现路径的行为。(Ant colony algorithm for path planning)
变异蚁群算法
- 蚁群算法，对ACO传统算法进行改进，求解TSP问题的软件(solution of space equilibrium piont)
蚁群算法
- 本文对蚁群算法的基本理论以及在 TSP 问题中的应用进行了系统研究和 MATLAB 仿真。介绍了蚁群算法的基本原理、特点和算法的实现方法。.基本蚁群算法由于存在搜索时间长，易陷入局部最优解等突出缺点，使得求解效果不是很好。针对这些缺陷，提出了改进的蚁群算法（最大-最小蚂蚁系统）求解 TSP 问题。改进主要在于限制路径信息素浓度、信息素的初始值以及强调对最优解得利用这三个方面。(In this paper, the basic theory of ant colony algorithm and