Description: 模拟退火算法及MATLAB程序代码,包含算法pdf文档，PPT讲义和M文件。-Simulated annealing algorithm and MATLAB code that contains the algorithm pdf documents, PPT handouts and M files. Platform: |
Size: 1019904 |
Author:Binjie Liao |
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Description: 模拟退火（Simulated Annealing，简称SA）是一种通用概率算法，用来在一个大的搜寻空间内找寻命题的最优解。用于预测，使用方便，快速准确-Simulated annealing (Simulated Annealing, abbreviated SA) is a generic probabilistic algorithm used in a large search space to find the optimal solution proposition. Used to predict, easy to use, fast and accurate Platform: |
Size: 10240 |
Author:李志强 |
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Description: 应用于哈密顿回路的TSP模拟退火算法，里面有6个m文件-Hamiltonian circuit used in the TSP simulated annealing algorithm, which has a 6 m files Platform: |
Size: 8192 |
Author:伏臻 |
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Description: 由于K-means 聚类方法对遥感图像进行分类时，对训练样本的选取依赖性很大，容易陷入局部最优的陷阱的情况，本文提出利用模拟退化算法对K-means 的聚类进行优化以获得
全局最优解的分类新方案。并以多波段影像为例进行验证分析，结果表明该方法可行，收敛
结果优于K-means 聚类算法，分类精度相对传统的K-means 算法更高。-Because K-means clustering classification depend on the training sample selection,great easy to fall into local optimum, in this paper , using Simulated Annealing algorithm to optimize K-means cluster analysis to obtain the global best optimal solution of the classification of 20 the new program. And multi-band image as an example to verify the analysis results, showing that the method is feasible, convergence results are better than K-means clustering algorithm, classification accuracy compared to traditional K-means algorithm is higher Platform: |
Size: 438272 |
Author:huaoking |
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Description: 根据相关文献编写的智能算法，本算法为模拟退火算法，可根据需要用在相关的例子上。-According to literature written in intelligent algorithms, this algorithm is simulated annealing algorithm, can be used in the relevant examples on. Platform: |
Size: 26624 |
Author:李春 |
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Description: 本程序提供了多种TSP模拟退火算法解决图论问题的代码。-This program offers a variety of simulated annealing algorithm to solve TSP graph theory problem code. Platform: |
Size: 2048 |
Author:zzz |
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Description: 针对战区装备保障点动态选址问题的广义最大覆盖选址模型，综合分析传统的启发式算法全局、局部搜索中的
优缺点，提出一种基于BP神经网络的遗传模拟退火算法，并将其运用于战区装备保障点动态选址决策实际同题中，对该算法
进行了仿真研究，给出具体实例的仿真结果验证了该算法求解最优解的高效性以及运算的高收敛速度。-Considering the generalized maximal covering location model of dynamic locating on war
zone equipments support system，we synthetically analyses the virtues and disadvantages of conventional
total and partial searching algorithm，presents an algorithm based on BP neural network in genetic
algorithm and simulated annealing algorithm， Platform: |
Size: 338944 |
Author:asda |
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