搜索资源列表
aco.rar
- 专门用于求解TSP问题的matlab编制的蚁群算法,此程序的优化效率和鲁棒性都非常好,Ant Colony Algorithm for Traveling Salesman Problem,very efficient and robust
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
Genetic_and_Ant_Algorithms_src
- ACO for TSP, working we-ACO for TSP, working well
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
ACOTSP-1.02
- aco tsp algorithm to matlab
AntSolver
- 在linux下C写的蚁群算法，用于解决约束条件下的VRP、TSP问题，效果发很好。-AntSolver is a program for solving constraint satisfaction problems with ACO
aco
- 一个简单的蚁群算法示例，实现tsp问题的路径选择。用了ant 和project两个类，实现简单-Ant Colony Algorithm
ACO
- 基于蚁群算法的机器人的路径规划问题蚁群算法，一种与传统的数学规划原理截然不同的，模拟自然生态系统以求解复杂优化问题(如NPC(NP Complete)类问题，典型的有TSP(Traveling Saleman Problem)问题)的仿生优化算法，因其较强分布式计算机制、鲁棒性、易于与其他方法相结合等优点，使得蚁群算法具有较广泛应用领域，为那些最优化技术难以解决的组合优化问题提供了一类新的切实可行的解决方案。从最初的一维的静态优化问题扩展到多维的动态组合优化问题，包括车辆路径规划，工程设计，电力
TSP-Ants
- Solves TSP using ACO
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-aco
- 改进的蚁群算法，并不是单纯的解决TSP问题，可以实现源节点到目的节点的协作通信。-Improved ant colony algorithm to solve the TSP is not a simple problem, you can achieve collaborative communication source node to the destination node.
ACO-to-solve-TSP-problems
- 蚁群算法解决TSP问题的MATLAB实现-ACO to solve TSP problems
ACO
- TSP旅行商问题，解决城市旅行距离最短的问题，基于蚁群算法求解。-TSP traveling salesman problem, solve the problem of urban travel the shortest distance, based on ant colony algorithm.
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.
ACO-for-TSP
- aco ant system matlab aco tsp
ACO v1
- tsp with aco in matlab
Solve TSP using Ant Colony Optimization
- Solve Travelling Salesman Problem Using Ant Colony Optimization
ACO
- matlab code Ant colony optimization for solve Travelling salesman problem
TPS ANT
- 使用蚁群算法解决TSP问题，python2.7(solve TSP with ACO algorithm)
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