搜索资源列表
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5下载：
编写的基于遗传算法解决VRP问题的源代码,Prepared VRP based on genetic algorithm to solve the problem of source code
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遗传算法解决vrp问题，很好的 遗传算法解决vrp问题，很好的-Vrp genetic algorithm to solve problems, good vrp genetic algorithms to solve problems, good
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这是一个解决皇后问题的遗传算法，是用c语言编写的，可以直接运行。-This is a solution to the problem' s genetic algorithm, are prepared using c language, can be directly run.
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A Genetic Algorithm Approach to Scheduling
Communications for a Class of Parallel Space-Time Adaptive Processing Algorithms
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A survey to describe some Job Shop Scheduling problem using Genetic Algorithm problems to solve some NP-hardness problem!
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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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用Ｋ均值和遗传算法实现了半监督聚类算法，这是个一个已经发表的论文的源程序-Using K-means and genetic algorithm to achieve a semi-supervised clustering algorithm, this is a paper published source
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This article presents one of the most famous hierarchical graph drawing algorithms. Starting from a hierarchical graph we create a population of chromozoms that will be used in a Genetic Algorithm to get the best subjective representation: minimal ed
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本程序用来实现对非线性函数求解优化程序的主要算法采用遗传算法实现-This procedure is used to achieve non-linear functions to solve optimization procedure using genetic algorithm main algorithms
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有关多目标优化问题的遗传算法的基本理论方法的硕士论文，相关领域的大家可以参考一下-Multi-objective optimization problems related to genetic algorithms basic theories and methods of the master' s thesis and related fields that we can reference
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利用遗传算法解决机器人路径规划问题,较好的一个例程，在VC++平台下开发-Using the genetic algorithm to solve robot path planning problem, the better a routine in VC++ platform development
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这是一个非常简单的遗传算法源代码，是由Denis Cormier (North Carolina State University)开发的，Sita S.Raghavan (University of North Carolina at Charlotte)修正。代码保证尽可能少，实际上也不必查错。对一特定的应用修正此代码，用户只需改变常数的定义并且定义“评价函数”即可。注意代码 的设计是求最大值，其中的目标函数只能取正值；且函数值和个体的适应值之间没有区别。该系统使用比率选择、精华模型、单点杂
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genetic algorithm used to solve travelling salesman prolem
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A Parallel Repair Genetic Algorithm to Solve the
Unit Commitment Problem
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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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清华大学Liu的例子，用遗传算法解决3种不同的不确定规划问题，用c++编写的程序-Tsinghua University Liu example, using genetic algorithm to solve three different types of uncertainty in the planning, programs written in c++
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用matlab实现遗传算法来辨识线性系统参数，-Using matlab genetic algorithm to identify the linear system parameters
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简单的遗传算法实例，求解多个城市的旅行商问题。C++编写。大量注释-Examples of simple genetic algorithm to solve the traveling salesman problem in many cities. C++ write. Extensive comments
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使用遗传算法解决旅行商问题的matlab程序-Genetic algorithm to solve the traveling salesman problem matlab program
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这个代码是采用遗传算法解决车辆路径优化问题，大家一块学习(This code is to solve the vehicle routing optimization problem with genetic algorithm.)
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