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本文采用C++开发遗传算法，并由次算法解决最短路算法，函数最优化算法，取得了良好的效果。-this paper, C development of genetic algorithms, meeting with the shortest path algorithm for solving algorithms, function optimization algorithm, achieved good results.
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this m file can Find 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)
Notes:
1. Input error checki
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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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用遗传算法求解最短路径问题-Genetic Algorithm for the shortest path problem
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在vc控制台中运行，用遗传算法求解最短路径，用邻接矩阵表示路线图。-in vc console operations, Genetic Algorithm for the shortest path, adjacency matrices road map.
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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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基于遗传算法的最短路径计算
程序简洁 速度很快 界面不是很完善,Based on genetic algorithms calculate the shortest path
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一个遗传算法求解两点最短路径问题的具体实现，采用C++编写，经测试当求解路径较复杂时，其算法执行效率高于dijstra算法-A genetic algorithm for two concrete realization of the shortest path problem, using C++ written in the path have been tested when solving more complex, its algorithm is more efficient tha
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【系统功能】
LL-路径优化系统主要用于求解已知坐标的规模为N的城镇间最短路径问题。
【主要算法】
1：利用Prim算法求解带约束条件的连通图的最小生成树；
2：利用基于单亲遗传算法求解带约束条件的TSP问题。
-【Function】 LL-path optimization system is mainly used to solve the known coordinates for the N scale of the problem of the shortest p
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:针对遗传算法易陷入局部最优的不足,在标准遗传算法基础上加入了三个新的操作- 复原、重构和录优操作,使改
进后的遗传算法收敛于全局最优,并在此基础上以路边约束、动态避障和路径最短作为适应度函数,提出了动态避障的路径
规划方法。通过实验仿真验证了算法的有效性、准确性和实时性,并与基于以往的遗传算法的路径规划方法进行比较,结果
表明本文提出的方法在产生的路径长度和算法运行时间上都具有更优的性能。-: Genetic algorithm for the lack of easy to
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通过此程序能够利用遗传算法解决TSP问题，即图论中从某一点出发经过所有点一次的最短路径求解问题-Through this program can take advantage of genetic algorithm to solve the TSP problem, namely, graph theory starting from a point in time through all the points for solving the shortest path problem
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用遗传算法解决最短路径优化TSP 问题（附matlab源程序.txt）-The solvelution of the shortest path optimization problem TSP by using genetic algorithms (matlab source. Txt)
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求解K短路问题的一种创新算子的单亲遗传算法源程序，该程序需要一个distance.txt文本文件，从中读取任意两点间距离数据。本程序所解决的为有26个节点的任意两点间K短路问题。-Solving K shortest path problem in an innovative operator of single-parent genetic algorithm source code, the program requires a distance.txt text file, read fr
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Genetic algorithm to evolving a logic network of 16 gates, and graph evaulation for shortest path.
It use matlab ga basic function
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用matlab程序编写的遗传算法路径规划程序用来实现最短路径问题。-Programming using genetic algorithm matlab path planning process used to achieve the shortest path problem.
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利用matlab语言编写多个城市间，求最短路径的遗传算法源代码-Genetic algorithm source code, find the shortest path between the Matlab language multiple cities。
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本程序的功能是用遗传算法求最短路径。
可以修改顶点与顶点的权值、顶点个数、染色体的条数等去适应你的问题-The function of the program is using genetic algorithms for the shortest path. Can modify vertex and vertex weights, the number of vertices, the number of chromosomes to adapt to your question
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最短路径问题，遗传算法的matlab代码。可以解决物流中车辆路径最短问题-The shortest path problem, genetic algorithm matlab code. Can solve the shortest path problem logistics vehicle
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遗传算法的Matlab实现，附带具体TSP，最短路问题程序-Matlab genetic algorithm to achieve, with specific TSP, the shortest path problem program
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图论算法在计算机科学中扮演着很重要的角色，它提供了对很多问题都有效的一种简单而系统的建模方式。很多问题都可以转化为图论问题，然后用图论的基本算法加以解决。遗传算法是解优化问题的有效算法，而并行遗传算法是遗传算法研究中的一个重要方向，受到了研究人员的高度重视。(Graph theory plays an important role in computer science. It provides a simple and systematic modeling method for many p
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