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货郎担 最短路径问题 用链表储存最短路径节点-traveling salesman problem using the shortest path Listless storage nodes Shortest Path
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遗传算法的一个例子：旅行商问题。C++源代码，适合初学者研究遗传算法与最优化等方面的知识。-a genetic algorithm examples : the traveling salesman problem. C source code, suitable for beginners and genetic algorithm optimization and other kinds of knowledge.
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使用禁忌搜索算法求解TSP（旅行商问题）的JAVA源程序,The use of tabu search algorithm for solving TSP (Traveling Salesman Problem) the JAVA source code
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遗传算法编程求解旅行商问题；图论中最短路问题的Matlab程序实现；背包问题模型的Matlab程序实现。,Genetic Algorithm for Solving Traveling Salesman Problem programming graph theory, shortest path problem in the Matlab program implementation knapsack problem Matlab model implementation process.
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遗传算法求解TSP问题的MATLAB实现。这是一篇非常有新意的论文，对于学习遗传算法非常有用,This paper has resolved the traveling salesman problem(TSP) by virtue of geneitc algorithms(GA)
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首先介绍了当前求解TSP问题最好的演化算法之一：GT算法。文中重点设计了在NOW上求解旅行商问题GT算法的并行算法，详细描述了设计思路，设计策略。还给出了相当详细的并行算法描述。文中设计的并行算法已经在NOW上的PVM平台上实现。关键词NOW，演化计算，旅行商问题,并行计算-first briefed on the current TSP evolutionary algorithm best one : GT algorithm. The article focused on the desi
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TSP问题,即旅行商问题,matlab环境下可以运行-TSP problem, that is, traveling salesman problem, matlab environment can run
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have recently become very interested in the area of genetic algorithms and Ant Colony Optimization techniques. I was determined to write a complete program demonstrating these two techniques. In particular I wanted to compare the efficiency of these
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旅行商问题（Travelling Salesman Problem, 简记TSP，亦称货郎担问题)：设有n个城市和距离矩阵D=[dij]，其中dij表示城市i到城市j的距离，i，j=1，2 … n，则问题是要找出遍访每个城市恰好一次的一条回路并使其路径长度为最短。-TSP (Travelling Salesman Problem, Jane Hutchison TSP, also known as the traveling salesman problem): with n cities an
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matlab多旅行商问题以及各种算法如蚂蚁算法和遗传算法-matlab multi-traveling salesman problem and various algorithms such as the ant algorithm and genetic algorithm
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这是一篇关于多旅行商问题的学术论文，非常有新意，非常有利于我们深入了解mtsp问题的本质-This is a multi-traveling salesman problem on the papers, very fresh, very beneficial to our in-depth understanding of the nature of the problem mtsp
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Heuristic solution for the traveling salesman problem
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用MATLAB求解遗传算法的旅行商问题，这一类问题在大学生以及研究生的数模竞赛以及日常生活当中尤为重要的，为我们所重视。、近年来，学术界对旅行商问题也逐渐重视起来。-Using MATLAB genetic algorithm for solving the traveling salesman problem, this kind of problem students and graduate students in Mathematical Modeling Contest, and da
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利用遗传算法求解旅行商问题
旅行商问题，即TSP问题（Travelling Salesman Problem）是数学领域中著名问题之一。假设有一个旅行商人要拜访n个城市，他必须选择所要走的路径，路经的限制是每个城市只能拜访一次，而且最后要回到原来出发的城市。路径的选择目标是要求得的路径路程为所有路径之中的最小值。 -Traveling salesman problem using genetic algorithm traveling salesman problem, namely, th
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his the classic traveling salesman problem. A traveling salesman has to
visit 19 cities in any order. Each city has a profit to be earned by moving
from a city to a different city. Each movement has a different payoff.-his is the classic travel
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traveling salesman problem using backtracking technique
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旅行商问题：全国省会二维坐标如图30所示，基于遗传算法设计从黑龙江到西藏，并遍历全国各省会(每个省会只经过一次）的最短路径-Traveling salesman problem: two-dimensional coordinates of the national capital as shown in Figure 30, based on genetic algorithm design from Heilongjiang to Tibet and traverse the provinc
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用C++语言解决经典的货郎担问题 货郎担问题代码 vs2013 -To solve the traveling salesman problem
VS2013
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Heuristic method for the Traveling Salesman Problem
A number of nearest neighbour tours are generated randomly selected starting points. Each tour is improved by 2-opt heuristics (pairwise exchange of edges) and the best result is selected.
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基于人工智能中的A算法，编程并解决旅行商问题(Based on the A algorithm in artificial intelligence, programming and solving traveling salesman problem)
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