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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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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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模拟退火算法解决旅行商问题，从文件读入城市信息,Simulated annealing algorithm to solve traveling salesman problem, reading from the file information into the city
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使用模拟退火算法求解TSP（旅行商）问题的JAVA源程序,The use of simulated annealing algorithm for solving TSP (traveling salesman) problem with JAVA source
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遗传算法求解旅行商问题。在n=20的情况下依然能90 以上获得正确解。-Genetic Algorithm for Traveling Salesman Problem. In the case of n = 20 can still obtain the correct solution for more than 90 .
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ＪＡＶＡ语言实现的遗传算法解决TSP（旅行商问题），主要有三个简单的Java类。-JAVA language of the genetic algorithm to solve TSP (traveling salesman problem), there are three simple Java class.
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算法分析与设计报告，用java编写的4个常见的算法小程序。包括矩阵相乘问题，0/1背包问题，删数问题，和旅行商问题。-Algorithm analysis and design reports using java prepared four common algorithm applet. Including matrix multiplication problem, 0/1 knapsack problem, delete a few problems, and traveling sal
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遗传算法解决背包问题和旅行商问题。
测试数据已经写入java代码中。
遗传算法的参数可以修改。-Genetic algorithm to solve the knapsack problem and the traveling salesman problem. The test data has been written to the java code. The parameters of the genetic algorithm can be modified.
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The task of this application was to explore the possibilities of genetic programming and to test it
on a well known Traveling Salesman Problem (TSP), where the salesman should visit given number
of cities and then return back home, all in the sho
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