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蚂蚁算法求解TSP 很不错的 Matlab程序-ant colony optimization FOR TSP
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蚁群算法求解标准旅行商问题的matlab程序。-Matlab program of ant colony algorithm for the standard traveling salesman problem(TSP).
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用蚁群算法解决TSP问题,这是我从MATLAB中文论坛找到的。-TSP with ant colony algorithm to solve the problem, which I found from the MATLAB Chinese Forum.
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MATLAB提供了强大的计算和图形功能,通过MATLAB编程实现蚁群算法求解TSP问题-MATLAB provides a powerful computing and graphics capabilities, through the MATLAB programming ant colony algorithm for TSP problem
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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)
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Ant Colony Optimization for TSP
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matlab code Ant colony optimization for solve Travelling salesman problem
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蚁群算法解决TSP问题的matlab源代码(Ant colony algorithm to solve the TSP problem matlab source code)
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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)
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MATLAB 蚁群算法解决tsp问题。包含编程代码,可直接使用。(MATLAB solve Ant Colony Algorithm for TSP Problem)
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MATLAB蚁群算法解决TSP旅行商问题(Ant colony algorithm for solving TSP traveling salesman problem)
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将蚁群算法用于聚类操作 求解TSP问题,跟传统蚁群算法相比有很大程度上的提升,值得应用于研究(Using ant colony algorithm in clustering operation to solve TSP problem)
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用蚁群算法解决TSP旅游商问题,效果较好(Use ant colony algorithm to solve TSP travel salesman problem)
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基于蚁群算法的TSP问题的实现,仅用于对蚁群算法的学习(Implementation of TSP problem based on ant colony algorithm)
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基于Matlab m 函数开发的蚁群算法(The program in this document mainly solves the TSP problem ant colony algorithm matlab program)
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程序为蚁群算法解决TSP问题,主要包含了蚁群算法的具体步骤(The program solves the TSP problem for the ant colony algorithm and mainly includes the steps of the ant colony algorithm)
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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.)
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旅行商TSP问题蚁群算法在matlab平台的实现(TSP problem Ant Colony Algorithm)
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假设在一个供求关系系统中,车辆从货源取货,配送到对应的若干配送点。车辆存在最大载货量,且配送可能有时间限制。需要合理安排取货时间,组织适当的行车路线,使用户需求得到满足,同时使某个代价函数最小,比如总工作时间最少、路径最短等。
可以看出TSP问题是VRP问题的一种简单特殊形式。因此,VRP也是一种NP hard 问题。
目前解决此种问题的办法有多种,主要以启发式算法为主。包括退火算法、遗传算法、蚁群算法、禁忌算法等,本文介绍两种比较简单算法:C-W节约算法和遗传算法。(Assume that
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使用蚁群算法解决带时间窗的旅行商问题,注释详细(Ant colony algorithm is used to solve traveling salesman problem with time windows. Detailed annotations are given.)
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