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[Other resource] TspGA DL : 0: 遗传算法求解旅行商问题，对４８个城市的ＴＳＰ问题进行计算，求解路径和最优路径
Update : 2008-10-13 Size : 46.89kb Publisher : jsj
[Other resource] TSPGA1 DL : 0: visual C++ TSPGA AI 　
Update : 2008-10-13 Size : 6.68kb Publisher : liyiyang
[Other resource] TspGA DL : 0: 采用遗传算法来实现求解TSP问题,使用Visual C++实现的.
Update : 2008-10-13 Size : 43.46kb Publisher : lxz
[Other resource] TspGa DL : 0: 这个程序还需要改进.如果你们进行了改进,清告诉我.谢谢.
Update : 2008-10-13 Size : 402.8kb Publisher : zy
[Other resource] tspGA DL : 0: 采用遗传算法解决ＴＳＰ旅行商问题对初学遗传算法者很不错
Update : 2008-10-13 Size : 4.66kb Publisher : 肖玲俐
[Other resource] TSPGA DL : 0: 使用遗传算法解决TSP问题，通过模仿生物遗传的方法计算TSP路径
Update : 2008-10-13 Size : 3.99kb Publisher : mercury
[Other resource] TspGA DL : 0: it use the genetic algorithm to deal with the TSP problem
Update : 2008-10-13 Size : 54.78kb Publisher : 黄晨华
[CSharp] TSPGA DL : 0: 用C#编的用遗传算法求解旅行商（TSP）问题的源代码。-with C# Part of the Genetic Algorithm for TSP (TSP) of the source code.
Update : 2008-10-13 Size : 7.29kb Publisher : 流程
[CSharp] TSPGA DL : 0: 用C#编的用遗传算法求解旅行商（TSP）问题的源代码。-with C# Part of the Genetic Algorithm for TSP (TSP) of the source code.
Update : 2025-02-17 Size : 7kb Publisher : 流程
[AI-NN-PR] TspGA DL : 0: 遗传算法求解旅行商问题，对４８个城市的ＴＳＰ问题进行计算，求解路径和最优路径-Genetic Algorithm for Traveling Salesman Problem, the 48 city TSP problems, the solution of the path and optimal path
Update : 2025-02-17 Size : 47kb Publisher : jsj
[AI-NN-PR] TSPGA1 DL : 0: visual C++ TSPGA AI 　-visual C++ TSPGA AI
Update : 2025-02-17 Size : 7kb Publisher : liyiyang
[AI-NN-PR] TspGA DL : 0: 采用遗传算法来实现求解TSP问题,使用Visual C++实现的.-Using genetic algorithm to realize the issue of solving the TSP, the use of Visual C++ Achievable.
Update : 2025-02-17 Size : 43kb Publisher : lxz
[AI-NN-PR] TspGa DL : 0: 这个程序还需要改进.如果你们进行了改进,清告诉我.谢谢.-This process also needs to be improved. If you were to improve, money let me know. Thank you.
Update : 2025-02-17 Size : 617kb Publisher :
[source in ebook] tspGA DL : 0: 采用遗传算法解决ＴＳＰ旅行商问题对初学遗传算法者很不错-The use of genetic algorithm to solve traveling salesman problem TSP to the beginner who is pretty good genetic algorithm
Update : 2025-02-17 Size : 4kb Publisher : 肖玲俐
[AI-NN-PR] TSPGA DL : 0: 使用遗传算法解决TSP问题，通过模仿生物遗传的方法计算TSP路径-The use of genetic algorithms to solve TSP problems, through the imitation of biological genetic way of calculating the TSP path
Update : 2025-02-17 Size : 4kb Publisher : mercury
[MPI] TspGA DL : 0: it use the genetic algorithm to deal with the TSP problem
Update : 2025-02-17 Size : 55kb Publisher : 黄晨华
[AI-NN-PR] GA DL : 1: 由我收集或写出的GA源码，包括GA、SGA、AGA、TSPGA、GAPID、NSGA、NSGA2等。-From my collection or write source of the GA, including the GA, SGA, AGA, TSPGA, GAPID, NSGA, NSGA2 and so on.
Update : 2025-02-17 Size : 435kb Publisher :
[AI-NN-PR] TSPGA DL : 0: 旅行商问题求解旅行商问题求解旅行商问题求解-Traveling Salesman Problem Solving Traveling Salesman Problem Solving Traveling Salesman Problem Solving Traveling Salesman Problem Solving
Update : 2025-02-17 Size : 66kb Publisher : QING Pei
[matlab] tspga DL : 0: Traveeling sales man problem solved using genetic algorithm in matlab
Update : 2025-02-17 Size : 1kb Publisher : cybercbm
[Windows Develop] TSPGA DL : 0: 遗传算法是基于达尔文进化论的一种智能优化算法,一种可用于复杂系统优化的具有鲁棒性的搜索算法，适用于解决传统方法难以解决的复杂的、非线性问题，可广泛应用于组合优化、离散优化、工程优化等领域。旅行商问题是一种NP难的组合优化问题，具有重要的理论研究价值和实际应用背景。然而，传统遗传算法中存在有不足，需要提出新的改进的遗传算法，并应用于旅行商问题的求解。-Genetic algorithm is based on Darwin' s theory of evolution of an intelligent optimization algorithm, a complex system can be used to optimize the robustness of the search algorithm, the application of traditional methods to solve difficult and complex, nonlinear problems, can be widely used in combination optimization, discrete optimization, engineering, optimization and other fields. Traveling Salesman Problem is a NP hard combinatorial optimization problem, has important theoretical value and practical application of research background. However, the traditional genetic algorithm, there is less than the need to introduce new improved genetic algorithm, and applied for solving the traveling salesman problem.
Update : 2025-02-17 Size : 9kb Publisher : wangtao

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