Description: 这是一个好的建模学习资料,赶快下载吧,
数学建模十大算法 ( 包含:蒙特卡罗算法、数据拟合、参数估计、
插值等数据处理算法、线性规划、整数规划、多元规划、二次规划等规划类问题、
图论算法、动态规划、回溯搜索、分治算法、分支定界等计算机算法、
最优化理论的三大非经典算法：模拟退火法、神经网络、遗传算法、
网格算法和穷举法、一些连续离散化方法、数值分析算法、图象处理算法）-This a good model to study the information, download it quickly, mathematical modeling algorithm 10 (includes : Monte Carlo algorithm, data fitting, parameter estimation, interpolation of data-processing algorithms, linear programming, integer programming, diversity planning, Quadratic Programming category of zoning, graph-theoretical algorithms, dynamic programming, retroactive search, the partition algorithm, branch-and-bound algorithm computer, most optimization theory of the three non-classical algorithm : simulated annealing, neural networks, genetic algorithms, mesh algorithms and exhaustive, some consecutive discrete method, numerical analysis algorithms, image processing algorithm) Platform: |
Size: 5929399 |
Author:zhxj |
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Description: 这是一个好的建模学习资料,赶快下载吧,
数学建模十大算法 ( 包含:蒙特卡罗算法、数据拟合、参数估计、
插值等数据处理算法、线性规划、整数规划、多元规划、二次规划等规划类问题、
图论算法、动态规划、回溯搜索、分治算法、分支定界等计算机算法、
最优化理论的三大非经典算法：模拟退火法、神经网络、遗传算法、
网格算法和穷举法、一些连续离散化方法、数值分析算法、图象处理算法）-This a good model to study the information, download it quickly, mathematical modeling algorithm 10 (includes : Monte Carlo algorithm, data fitting, parameter estimation, interpolation of data-processing algorithms, linear programming, integer programming, diversity planning, Quadratic Programming category of zoning, graph-theoretical algorithms, dynamic programming, retroactive search, the partition algorithm, branch-and-bound algorithm computer, most optimization theory of the three non-classical algorithm : simulated annealing, neural networks, genetic algorithms, mesh algorithms and exhaustive, some consecutive discrete method, numerical analysis algorithms, image processing algorithm) Platform: |
Size: 5928960 |
Author:zhxj |
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Description: 求完全图哈密尔顿圈的遗传模拟退火算法matlab通用源程序-Complete graph for the Hamilton Circle genetic simulated annealing algorithm matlab common source Platform: |
Size: 1024 |
Author:胡家君 |
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Description: 遗传算法工具箱，matlab,基于6.5版本的。希望大家顶起。在考虑用于图着色。-Genetic algorithm toolbox, matlab, based on the 6.5 version. I hope everyone from the top. In considering for the Graph Coloring. Platform: |
Size: 104448 |
Author:ye ming |
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Description: 图论研究中的一个顶点覆盖的近似算法，精度不是很高，但是很好用！-Study of graph theory, a vertex cover approximation algorithm, the accuracy is not high, but good use! Platform: |
Size: 1024 |
Author:liu |
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Description: 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. Platform: |
Size: 504832 |
Author:竹子的信仰 |
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Description: 自己编的，在VB中实现普里姆最小生成树算法的代码，有图的，边的权值是随机生成的，5个节点，点“generate tree”，就会显示出最小树。-Own, and in VB in the minimum spanning tree algorithm prim implementation code, there is graph, edge weights are randomly generated, five nodes, point " generate tree" , will show the most trees. Platform: |
Size: 2048 |
Author: |
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Description: 【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 path between cities and towns. The main algorithm 【】 1: using Prim algorithm with constraint condition of the minimum spanning tree-connected graph 2: the use of genetic algorithm based on the single condition with the TSP problem. Platform: |
Size: 575488 |
Author:张玉芨 |
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Description: 通过遗传算法把随机点提取成曲线的程序，可以用来结合图论分析-Through the genetic algorithm to extract a random point process into a curve can be used to combine graph theory analysis Platform: |
Size: 4096 |
Author:wuhaowen |
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Description: 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 Platform: |
Size: 4096 |
Author:luoyong |
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Description: 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 edge crossing. Minimal esge crossing is the most important aspect in aesthetic graph drawing(planar drawing). Hierarchical graph with a hierarchical drawin using multiple layer has a great importnace in data mining software solution. Platform: |
Size: 135168 |
Author:mihi64 |
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Description: 量子遗传算法应用于物理频谱分析，结果表明基于量子遗传算法的频谱分配算法性能明显优于颜色敏感图论着色算法-Quantum genetic algorithm is applied to the physical spectrum analysis, the results show that genetic algorithm based on quantum of spectrum allocation algorithm is superior to color-sensitive coloring algorithm for graph theory Platform: |
Size: 197632 |
Author:daijiang |
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Description: 本文将排课五要素绑定、封装成课元、课栈两个向量，并以二维权值矩阵描述课元
和课栈之间的关联系。
提出了最佳匹配和遗传算法的排课算法，以随机生成的二维数字矩阵来反映课元和
课栈的关联权重，对数字矩阵组处理和最佳匹配得到的匹配偶图组为遗传算法的初始种
群，以排课各种原则的加权和为目标函数，在遗传算子控制下迭代来寻求更优的匹配结
果即使目标函数最小的偶图匹配结构，进而得到满意的排课结果。
提出了关联匹配和禁忌搜索的排课算法，以随机二维数字矩阵描述课元和课栈之问
的关联权重，按照重权优先并根据正确性原则进行约简，获得课元和课栈之间的匹配偶
图。在此基础上，引入禁忌搜索算法，以排课的完备性原则、合理性原则和人性化原则
的加权和为目标函数，以随机二维权值矩阵生成的匹配偶图为初始解，对二维权值矩阵
进行扰动构成搜索邻域，以生成的匹配偶图为禁忌对象，采用全局藐视准则，获得最优
的排课方案。
以Matlab为平台，利用Excd数据库和Mallab的互联实现数据交换，编写了两套
算法的应用程序，通过实例来验证两套排课算法，结果表明两套算法是可行的。-Arranging the five elements of this paper, binding, packaging into a class element, class stack of two vectors and matrices described by two classes per Rights
And the relationship between class stack link.
Offers the best match and Genetic Algorithm Platoon algorithm to randomly generated two-dimensional figures to reflect the class element and matrix
Class stack associated with weight, the digital matrix group received treatment and the best matching group bipartite graph matching the initial kind of genetic algorithm
Group to the weighted course arrangement of principles and the objective function, under the control of the genetic operator iteration to seek the better match Results
Results even if the objective function structure of the smallest bipartite graph matching, and then Timetabling satisfactory results.
Match the proposed association Timetabling algorithm and tabu search, a random two-dimensional digital matrix element and the class description class stack of Q Platform: |
Size: 1812480 |
Author:张林杰 |
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Description: Genetic algorithm to evolving a logic network of 16 gates, and graph evaulation for shortest path.
It use matlab ga basic function Platform: |
Size: 9216 |
Author:piccir |
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Description: 基于遗传算法的有向图的边序列遍历算法Matlab源码.此函数实现遗传算法，用于用于有向图的边遍历序列的优化 GreenSim团队原创作品-Genetic algorithms are based on the edge to the graph traversal algorithm sequence of Matlab source code. This function implements the genetic algorithm used for edge directed graph traversal sequence optimization GreenSim original works team Platform: |
Size: 1024 |
Author:lzf |
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Description: tinyos 蚁群算法(ant colony optimization, ACO)，又称蚂蚁算法，是一种用来在图中寻找优化路径的机率型算法。它由Marco Dorigo于1992年在他的博士论文中提出，其灵感来源于蚂蚁在寻找食物过程中发现路径的行为。蚁群算法是一种模拟进化算法,初步的研究表明该算法具有许多优良的性质.针对PID控制器参数优化设计问题,将蚁群算法设计的结果与遗传算法设计的结果进行了比较,数值仿真结果表明,蚁群算法具有一种新的模拟进化优化方法的有效性和应用价值-The tinyos ant colony algorithm (ant colony optimization, ACO), also known as ant algorithm the the probability type algorithm is a method for finding the optimal path in the graph. By Marco Dorigo in his doctoral thesis in 1992, inspired by the behavior of ants found in the process of looking for food path. Ant colony algorithm is a simulated evolutionary algorithm, preliminary studies show that the algorithm has many excellent properties for the PID controller parameters to optimize the design problem, the design of ant colony algorithm and genetic algorithm design compared with numerical simulation results The results show that the ant colony algorithm with a new simulated evolutionary optimization method effectiveness and value Platform: |
Size: 495616 |
Author:Sofunzhao |
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Description: 基于遗传算法和禁忌搜索的启发式算法，提供C++代码，能够高效地解决图着色问题。-The code based on the combination of Genetic Algorithm and Tabu Search can be used to solve the Graph Coloring problem efficiently Platform: |
Size: 1219584 |
Author: |
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Description: 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 problems. Many problems can be translated into graph theory problems, and then solved by the basic algorithm of graph theory. Genetic algorithm is an efficient algorithm for solving optimization problems, and parallel genetic algorithm is an important direction of genetic algorithm research, and has attracted much attention of researchers.) Platform: |
Size: 27648 |
Author:四姑娘
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Search - algorithm genetic graph