Description: 模拟退火程序:这部分代码是模式识别中结合模拟退火法的特征提取，大家可以对其进行简单的改进会获得更好的效果，比如改变温度表，加上“记忆体”，结合遗传算法等
-simulated annealing procedures : This code is part of pattern recognition in combination with simulated annealing method of feature extraction, you can perform simple improvements will be better results, such as changes in thermometers, the words "memory" combining genetic algorithm Platform: |
Size: 195860 |
Author:天才 |
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Description: 运用c＃语言实现模拟退火算法，同时利用该算法解决旅行商（TSP）问题，获得遍历所有城市序号的最优路径。-use c # language simulated annealing, while using the algorithm to solve traveling salesman (TSP). access to the serial numbers of all the cities traverse the optimal path. Platform: |
Size: 131403 |
Author:linvg |
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Description: The package includes 3 Matlab-interfaces to the c-code:
1. inference.m
An interface to the full inference package, includes several methods for
approximate inference: Loopy Belief Propagation, Generalized Belief
Propagation, Mean-Field approximation, and 4 monte-carlo sampling methods
(Metropolis, Gibbs, Wolff, Swendsen-Wang).
Use \"help inference\" from Matlab to see all options for usage.
2. gbp_preprocess.m and gbp.m
These 2 interfaces split Generalized Belief Propagation into the pre-process
stage (gbp_preprocess.m) and the inference stage (gbp.m), so the user may use
only one of them, or changing some parameters in between.
Use \"help gbp_preprocess\" and \"help gbp\" from Matlab.
3. simulatedAnnealing.m
An interface to the simulated-annealing c-code. This code uses Metropolis
sampling method, the same one used for inference.
Use \"help simulatedAnnealing\" from Matlab. Platform: |
Size: 83944 |
Author:bevin |
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Description: 模拟退火程序:这部分代码是模式识别中结合模拟退火法的特征提取，大家可以对其进行简单的改进会获得更好的效果，比如改变温度表，加上“记忆体”，结合遗传算法等
-simulated annealing procedures : This code is part of pattern recognition in combination with simulated annealing method of feature extraction, you can perform simple improvements will be better results, such as changes in thermometers, the words "memory" combining genetic algorithm Platform: |
Size: 195584 |
Author:天才 |
Hits:
Description: 运用c＃语言实现模拟退火算法，同时利用该算法解决旅行商（TSP）问题，获得遍历所有城市序号的最优路径。-use c# language simulated annealing, while using the algorithm to solve traveling salesman (TSP). access to the serial numbers of all the cities traverse the optimal path. Platform: |
Size: 131072 |
Author:linvg |
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Description: tsp的模拟退火算法。用java的程序，值得学习编程思想和对模拟退火算法的学习。-Simulated Annealing Algorithm tsp. Using java procedure, it is worth thinking of learning programming and simulated annealing algorithm for learning. Platform: |
Size: 11264 |
Author:李俊 |
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Description: 主要用于地球物理反演，算法简单，但基本的步骤都有，所以很容易根据程序来改进运用-Mainly used in geophysical inversion, the algorithm is simple, but the basic steps are, so it is easy to use in accordance with procedures to improve Platform: |
Size: 1024 |
Author:张大莲 |
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Description: 模拟煺火算法,学人工智能的时候写的一个小程序,准确率还是很高的.-Ham fire simulation algorithms, artificial intelligence when learning to write a small procedure, an accurate rate is still high. Platform: |
Size: 739328 |
Author:李宝亮 |
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Description: General simulated annealing algorithm-anneal Minimizes a function with the method of simulated annealing (Kirkpatrick et al., 1983)
ANNEAL takes three input parameters, in this order:
LOSS is a function handle (anonymous function or inline) with a loss function, which may be of any type, and needn t be continuous. It does, however, need to return a single value.
PARENT is a vector with initial guess parameters. You must input an initial guess.
OPTIONS is a structure with settings for the simulated annealing. If no OPTIONS structure is provided, anneal uses a default structure. OPTIONS can contain any or all of the following fields (missing fields are filled with default values):
Verbosity: Controls output to the screen.
0 suppresses all output
1 gives final report only [default]
2 gives temperature changes and final report
Generator: Generates a new solution from an old one. Any function handle that takes a solution as input and gives a valid solution (i.e. Platform: |
Size: 4096 |
Author:Ping-Feng Xu |
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Description: 本文介绍了模拟退火算法的原理和求解方法,并将其用于指数曲线的拟合,在Matlab语言环境下实现了该算法,并且与文献中的遗传算法、线性回归相比较。数值模拟结果表明,该算法能更好地实现最优拟合。-This article describes the principle of simulated annealing algorithm and solution methods, and used an exponential curve fitting, the language environment in Matlab implementation of the algorithm and the genetic algorithm with the literature, linear regression comparison. Numerical simulation results show that the algorithm can better achieve the optimal fit. Platform: |
Size: 17408 |
Author:yaoqiuxiang |
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Description: 主要介绍模拟退火算法，也是一个很好的启发式算法，在数值优化中用的比较多。-Introduces the simulated annealing algorithm is a good heuristic algorithm used in the comparison of numerical optimization more. Platform: |
Size: 142336 |
Author:吕琼帅 |
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Search - SimulatedAnnealing