Description: matlab下实现模拟退火算法的程序,非常好非常实用的程序!-matlab simulated annealing algorithm under the procedures, a very good program very useful! Platform: |
Size: 501760 |
Author:闫君飞 |
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Description: 使用matlab编写.一个模拟退火算法的程序,实现了tsp问题的求解-a simulated annealing procedures, the use of Matlab prepared.-Prepared using matlab. A simulated annealing algorithm procedures, achieved tsp problem solving-a simulated annealing procedures, the use of Matlab prepared. Platform: |
Size: 2048 |
Author:yang |
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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: 83968 |
Author:bevin |
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Description: matlab编制的用模拟退火算法解决0-1背包问题的具体实例-matlab prepared using simulated annealing algorithm to solve 0-1 knapsack problem specific examples of Platform: |
Size: 1024 |
Author:潘晔 |
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Description: 改进模拟退火算法,应用并实现,希望对大家有所帮助。-Improved simulated annealing algorithm, the application and to achieve, I hope all of you to help. Platform: |
Size: 2048 |
Author:佳佳 |
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Description: 本程序是在MATLAB平台上面实现的用模拟退火算法解决01背包问题。-This procedure is in the MATLAB platform achieved with simulated annealing algorithm to solve knapsack problem 01. Platform: |
Size: 1024 |
Author:周薇 |
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Description: 详细讲述模拟退火算法的理论原理。并TSP问题为例进行讲解,并各处多种语言的源代码,包括c,matlab以及delphi。
-Simulated annealing algorithm described in detail the theory of principle. And TSP as an example to explain the problem and the source code of various languages, including c, matlab, as well as delphi. Platform: |
Size: 25600 |
Author:lian |
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Description: 三大经典算法之一:模拟退火算法。这里提供代码-One of the three classical algorithms: simulated annealing algorithm. Here are the code Platform: |
Size: 15360 |
Author:xinliang |
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Description: 模拟退火算法的MATLAB实例,包含图作色,旅行商等多个问题的例子。-Simulated annealing algorithm of MATLAB examples, including Fig作色, traveling salesman problem, and many other examples. Platform: |
Size: 14336 |
Author:boy |
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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: 推荐一个实用的Matlab模拟退火工具箱,里面含有非常全的matlab语言模拟退火算法,包括了Matlab函数和6个例程。
-Recommend a practical simulated annealing Matlab toolbox, which contains a very wide of the simulated annealing algorithm matlab language, including the Matlab function and six routines. Platform: |
Size: 208896 |
Author:江泉 |
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Description: 一篇关于模拟退火算法解决TSP问题的MATLAB代码,拿来分享,欢迎讨论-On a simulated annealing algorithm to solve TSP problem of MATLAB code, used to share, please discuss Platform: |
Size: 9216 |
Author:Allen |
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Description: TSP can be defined as a problem where starting from a node it is required to visit every other node only once in a way that the total distance covered is minimized. After an initial solution a neighborhood solution is selected by an exchange of a randomly selected pair of nodes. The randomly generated neighbor solution is selected if it improves the solution else it is selected with a probability that depends on the extent to which it deteriorates from the current solution.-TSP can be defined as a problem where starting from a node it is required to visit every other node only once in a way that the total distance covered is minimized. After an initial solution a neighborhood solution is selected by an exchange of a randomly selected pair of nodes. The randomly generated neighbor solution is selected if it improves the solution else it is selected with a probability that depends on the extent to which it deteriorates from the current solution. Platform: |
Size: 13312 |
Author:amilcar |
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