搜索资源列表
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应用遗传算法计算城市路径的一个vc和MATLAB程序-genetic algorithm path of a city vc and MATLAB program
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用遗传算法（Genetic algorithm）解决Travel salesperson problem. Crossover类型：one-point和two-point. 选择类型：Tournament和RouletteWheel.
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结合旅行商问题，学习并掌握遗传算法。并从实例中体会遗传算法对解决NP问题的重要性。遗传算法解决旅行商问题-Combination of traveling salesman problem, to learn and master the genetic algorithm. Experience from the examples of genetic algorithm to solve the NP problem. Genetic Algorithm to Solve Traveling
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遗传算法和蚂蚁算法融合的代码，比较好的利用了两种代码的优点，有很好的参考价值-Genetic Algorithm and Ant Algorithm code integration, better use of the advantages of two kinds of code, have a good reference value
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This program gives solution to the Travelling Salesman problem (TSP). I use genetic algorithm, tabu search, exhaustive search. It all combine in a windows application.
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TSP问题（又名：旅行商问题，货郎担问题）遗传算法通用matlab程序-TSP problem (also known as: traveling salesman problem, traveling salesman problem) Common genetic algorithm matlab program
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带有图形界面的TSP的求解教学程序，实现所用的代码采用了遗传算法。-With a graphical interface for solving TSP, the teaching process, the code used to achieve the adoption of a genetic algorithm.
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This the program for the TSP problem utilizing genetic algorithm.-This is the program for the TSP problem utilizing genetic algorithm.
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GA TSP (implementation of tsp by genetic algorithm)
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经典遗传算法利用单一种群对种群个体进行交叉、变异和选择操作，在进化过程中的超级个体易产生过早收敛现象，粗粒度并行遗传算法利用多个子种群进行进化计算，各子群体分别独立进行遗传操作，相互交换最优个体后继续进化。该文证明了该算法的搜索过程是一个有限时齐遍历马尔柯夫链，给出粗粒度并行遗传算法全局最优收敛性证明。对于旅行商问题TSP利用粗粒度并行遗传算法进行了求解，以解决经典遗传算法的收敛到局部最优值问题。仿真结果表明，算法的收敛性能优于经典遗传算法。-Classic genetic algorithm
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Graphical TSP genetic algorithm implementation with C# by mehdi akbari PhD student in QIAU Iran-Graphical TSP genetic algorithm implementation with C# by mehdi akbari PhD student in QIAU Iran
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C#中TSP遗传算法的设计与功能实现。TSP是经典数学问题，求最短路径。-Design and implementation of TSP genetic algorithm in C#.
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Genetic algorithm matlab code for solve travelling salesman problem
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一种基于遗传算法的TSP算法，比遗传算法更为合理准确(A TSP algorithm based on genetic algorithm is more reasonable and accurate than genetic algorithm)
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混合粒子群算法摒弃了传统粒子群算法中的通过跟踪极值来更新粒子位置的方法，而是引入了遗传算法中的交叉和变异操作，通过粒子同个体极值和群体极值的交叉以及粒子自身变异的方式来搜索最优解。(Hybrid particle swarm algorithm instead of the traditional particle swarm algorithm in the method to update the position of the particle by tracking the maximu
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遗传算法解决144个城市的TSP问题，并用easyX插件画出路径图。(The genetic algorithm solves the TSP problem in 144 cities and uses the easyX plug-in to draw the path map.)
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由遗传算法开发的整数规划，车辆调度问题(Integer programming developed by genetic algorithm and vehicle scheduling problem)
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基于遗传算法的TSP问题，连续HOPfield网络优化(TSP problem based on genetic algorithm and optimization of continuous HOPfield network)
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使用遗传算法解决了旅行商问题，采用C++做实现(The traveling salesman problem is solved by genetic algorithm, and implemented by C++.)
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遗传算法解决旅行商问题，可以解决N个城市最短路程问题并画图表示，给出迭代次数和最短距离(Solving the traveling salesman problem by genetic algorithm)
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