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利用遗传算法解决TSP旅行商问题的Java原码-using genetic algorithms to solve the traveling salesman problem TSP original Java code
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利用模拟退火算法解决旅行商问题的java原码-using simulated annealing algorithm to solve the traveling salesman problem java original code
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旅行商问题
某售货员要到若干城市去推销商品，已知各城市之间的路程（或旅费）。他要选定一条从驻地出发，经过每个城市一遍，最后回到驻地的路线，使总的路程（或旅费）最小。
例如：给定4个城市{1，2，3，4}及其各城市之间的路程
最优路线是1,3,2,4,1，
其最短路程是25-a salesman, traveling salesman problem, a number of cities to sell commodities, the known distance bet
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使用蚁群算法解决旅行商问题，mfc应用程序，城市数目及坐标在eil51.tsp里-use ant algorithm to solve the traveling salesman problem, and mfc applications, The number of cities and coordinates the eil51.tsp Lane
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A Genetic Algorithms and the Traveling Salesman Problem
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Finds a (near) optimal solution to the Traveling Salesman Problem (TSP) by setting up a Genetic Algorithm (GA) to search for the shortest path (least distance needed to travel to each city exactly once)
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Using Ant Colony Optimization Algorithm to solve Traveling Salesman Problem.对此方面的研究很有帮助
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Traveling Salesman Problem (TSP) has been an interesting problem for a long
time in classical optimization techniques which are based on linear and nonlinear
programming. TSP can be described as follows: Given a number of cities to visit
and th
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货郎担问题！这是用动态规划实现的！ 效率很高啊！-traveling salesman problem! This is achieved using dynamic programming! High efficiency ah!
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遗传算法和“货郎担” 问题:
\"The traveling salesman problem, or TSP for short, is this: given a finite number of cities along with the cost of travel between each pair of them, find the cheapest way of visiting all the cities and returning to your starting poi
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Traveling Salesman Problem Java Genetic Algorithm Solution, Hope all enjoy it.
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TSP( Traveling Salesman Problem) is a typical NP complete problem ,genetic algorithm is the perfect method for solving NP complete problem.
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C#版遗传算法解TSP问题-C# version Genetic Algorithm for the Traveling Salesman Problem
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MATLAB版遗传算法解TSP问题-MATLAB version Genetic Algorithm for the Traveling Salesman Problem
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一个运用改良的遗传算法来解决旅行商问题的程序-an improved use of genetic algorithms to solve the traveling salesman problem procedures
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一种运用蚂蚁算法和遗传算法解决旅行商问题的混合优化程序-an ant algorithm and the use of genetic algorithms to solve the traveling salesman problem hybrid optimization procedures
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模拟退火算法用于求解旅行商问题的matlab源程序-simulated annealing algorithm for solving the traveling salesman problem Matlab source
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图论中使用分支与界法求解旅行商问题，直接在vc中编译可运行-graph theory with the use of branch and bound for traveling salesman problem, which directly vc compiler can run
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采用的是康力山等人确定的实验参数。 对于n个城市的旅行商问题，其参数如下： 初始温度：t0=280, 每一个温度下采用固定的迭代次数L=100n, 温度的衰减系数alpha=0.92 算法停止的准则是当相邻两个温度得到的解变化很小时算法停止。-used the Stanozolol Hill were determined by the experimental parameters. N cities for the traveling salesman problem, the para
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这是一个旅行商问题的算法源程序，代码较为简短，说明详细，可读性好。压缩包里面只包含源程序文件，要在vc上面运行。-This is a traveling salesman problem algorithm source code, code brief that detailed and readable. Compressed they contain only source files to run above the vc.
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