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本程序是一个关于粗糙集属性约简启发式算法的实现，不过只有执行文件-this procedure is a rough set of attribute reduction heuristic algorithm to achieve, but only the implementation of documents
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蒙特卡罗启发式搜索算法，在平面内的多个点找到任意三点组成对大三角形的面积-Monte Carlo heuristic search algorithm, a number of points in the plane to find any of three large triangular area formed
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Minoux’s greedy algorithm is a method of a heuristic solution for the network design with linear separable costs.
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heuristic algorithm for solving discrete optimization
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改文档详细论述了启发式优化算法的原理，以及使用例程和待改进点，供编程爱好者使用-Change the document in detail the principle of heuristic optimization algorithm, and the use of routines and points to be improved for programming lovers
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Solution for Travelling Salesman Problem using the simulated annealing heuristic.
As an input, we take coordinates of cities (x,y) and then transform them into distances matrix (we assume, the distance between x and y is the same as between y and
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一个大地球物理数据的多元分析的启发式算法在模式识别集-A heuristic algorithm for pattern identification in large multivariate analysis of geophysical data sets
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KMEAN C#
In data mining, k-means clustering is a method of cluster analysis which aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean. This results in a partitioning of the data sp
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CDS(Campbell-Dudek-Simth)：是Johnson算法的扩展，被认为是好的具有鲁棒性的启发式算法。用于求解n-job，m-machine的流水作业调度问题；即n项作业都需要顺序进行m个工序，m个工序中，每道工序仅有一台机器，如何安排n项作业的加工先后关系。-CDS (Campbell-Dudek-Simth): an extension of the Johnson algorithm is considered robust heuristic algorithm is go
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用visual basic编译的布谷鸟算法的源代码,是一种很好地启发式智能算法。-Use visual basic compiler cuckoo algorithm source code, is a good heuristic intelligent algorithm.
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一个背包问题的启发式算法，在处理小数据时可以快速得到结果。-A heuristic algorithm for knapsack problem, in dealing with small data can quickly get results.
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在即时战略或角色扮演游戏中，经常需要控制角色移动到指定位置，只要存在可行路径，总是会采用最优路径到达目的地。这种能够在角色移动到目的地的方法，通常称为“游戏寻路算法”。
A*是一种启发式搜索算法，其所处理的对象是状态空间，安装预先设定的规则进行有选择有方向的遍历。-In the real-time strategy or role-playing games, often need to control the character moves to the specified locatio
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Most optimization problems in real life applications are often highly nonlinear. Local optimization algorithms do not give the desired performance. So, only global optimization algorithms should be used to obtain optimal solutions. This paper propose
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In the field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural selection. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimizatio
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TSP Solver is a very intuitive and user-friendly program that demonstrates two
common ways of solving the TSP (Traveling Salesman Problem) of the Graph Theory.
For a brief descr iption of the TSP, along with a quick reference to the solution
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Meta-heuristic clustering:
Source Code of:
GA: Genetic Algorithm
PSO: Particles Swram Optimization
HS: Harmony Search
DE: Differential Evolution
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Greedy heuristic with the objective of finding the mininal difference between the sums of elementf of two arrays of numbers formed given 80000 random numbers between 100000 and 999999.
It includes what I call the Gym Teacher algorithm that effic
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MIDACO是一般的优化问题求解器。 MIDACO可应用于连续（NLP），离散/整数（IP）和混合整数（MINLP）的问题。问题可能被限制在平等和/或不等式约束。 MIDACO适合多达数百至几千优化变量的问题。 MIDACO实现了一个自由衍生物，启发式算法的处理方法处理的问题，因为黑盒可含有关键功能特性，如非凸性，不连续或随机噪声。-MIDACO is a solver for general optimization problems. MIDACO can be applied to con
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OCCH RANDOMNESS (Optimised Connected Coverage Heuristic) approach Algorithm for WIreless Sensor Networks in Matlab
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受帝国主义殖民竞争机制的启发，Atashpaz-Gargari和Lucas于2007年提出了一种新的智能优化算法—帝国竞争算法 (ICA)。与GA, PSO, ABC等受生物行为启发的群智能算法不同，ICA受社会行为启发，通过摸拟殖民地同化机制和帝国竞争机制而形成的一种优化方法。ICA也是一种基于群体的优化方法，其解空间由称为国家的个体组成。ICA将国家分为几个子群，称为帝国。在每个帝国内，ICA通过同化机制使非最优的国家(殖民地)向最优国家(帝国主义国家)靠近，该过程类似于PSO。帝国竞争机制
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