搜索资源列表
ACO-for-three-well-known-TSP-problem
- 该程序是以蚁群系统为模型写的蚁群算法程序(强调：非蚂蚁周模型)，以三个著名的TSP问题为测试对象。通过微调参数，都可以获得较好的解-The program is based on ant colony system algorithm for the model written procedures ( emphasis : Non- ants week model ) to three well-known TSP problem for the test object. By fine-tu
NewAntProject
- 该程序是以蚁群系统为模型写的蚁群算法程序(强调：非蚂蚁周模型)，以三个著名的TSP问题为测试对象 //通过微调参数，都可以获得较好的解-A New Ant Project: the program is based on ant colony system model of ant colony algorithm program (emphasize: the ants weeks model), with three famous TSP problem for the test obj
J8-TCACS-for-Download
- 禁忌搜索与连续蚁群系统的结合，进行单目标寻优，结果非常满意-TCACS is a hybrid optimization algorithm combining Tabu Search (TS) and Continuous Ant Colony System (CACS).
ant-colony-optimization
- 蚁群算法，最大最小蚁群算法，用C++编写-max-min ant system，written by visual C++
pxc3890080
- An Enhanced Ant Colony System for Solving Vehicle Routing Problem with Time Window.
aco2004
- Ant colony system 1, optimization algorithm to solve TSP problem
TR06-143
- Explain Ant colony system 2, optimization algorithm to solve TSP problem
Dar2003master
- Ant colony system 4, optimization algorithm to solve TSP problem
ACOAlgoithmsWithGuaranteedConvergenceToTheOptimal
- Ant colony system 15, optimization algorithm to solve TSP problem
ACSForTSP(sequence)
- 蚁群系统算法求解TSP,蚁群系统算法在构建路径时采用顺序构建的方式。-Ant System Algorithm for TSP, ant colony system algorithm constructed using sequential manner during the build path.
ACSForCVRP(parallelPcandidateLists)
- 蚁群系统算法求解车辆路径问题，其中的蚁群系统使用了基于三角划分的候选列表。-Ant System algorithm for vehicle routing problem, which the ant colony system uses a list of candidates based on triangulation.
ACSForTSP(parallelPcandidateLists)
- 蚁群系统算法求解旅行商问题，其中使用了基于领域、基于三角剖分和最小生成树的候选列表，并进行了比较。-Ant Colony System for solving traveling salesman problem, in which a field-based, based on triangulation and the minimum spanning tree of the candidate list, and compared.
ACS
- code source for ant colony system (ACS) in matlab
knapsack-problem
- 背包问题即给定一组物品，每种物品都有自己的重量和价格，在限定的总重量内，我们如何选择，才能使得物品的总价格最高。-A hybrid algorithm combining ant colony system with multi-choice Knapsack problem was proposed.
yiqunyouhua
- 蚁群算法是受真实的蚂蚁群体行为启发而得出的一类仿生算法。采用蚁群算法，设计好蚁群系统，利用MATLAB进行仿真，解决函数优化问题。-Ant colony algorithm is inspired by real ants swarm behavior and it is concluded that the category of bionic algorithm. Using ant colony algorithm, design good ant colony system, use o
The-Ant-System-Optimization_PPT
- 基于蚁群算法的机器人路径规划，以及参考的多特征融合的人脸识别的论文。-Based on ant colony algorithm for robot path planning, as well as the reference of multi feature fusion of face recognition papers
蚁群算法
- 蚂蚁算法 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。这种算法具有分布计算、信息正反馈和启发式搜索的特征，本质上是进化算法中的一种启发式全局优化算法。蚁群系统(Ant System或Ant Colony System)是由意大利学者Dorigo、Maniezzo等人于20世纪90年代首先提出来的。他们在研究蚂蚁觅食的过程中，发现单个蚂蚁的行为比较简单，但是蚁群整体却可以体现一些智能的行
2872817
- 蚁群算法 控制台程序 基于类 不是基本的TSP模型的ant-cycle算法 而是蚁群系统 ant colony system算法()
Python-Ant-Colony-TSP-Solver-master
- 用蚁群算法解决tsp问题的python代码实现(tsp Ant System python code)
1915652
- 蚁群算法 控制台程序 基于类 不是基本的TSP模型的ant-cycle算法 而是蚁群系统 ant colony system算法()