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[AlgorithmMatlabsimulatedannealingalgorithmtoolbox

Description: matlab模拟退火算法工具箱,最新版本的matlab工具箱-simulated annealing algorithm matlab toolbox, the latest version of matlab toolbox
Platform: | Size: 61440 | Author: 戴志 | Hits:

[AI-NN-PRsimulatedannealingalgorithm

Description: 无约束条件的模拟退火算法 -Unconstrained conditions of simulated annealing algorithm
Platform: | Size: 89088 | Author: 戴志 | Hits:

[AI-NN-PRm

Description: Matlab的模拟退火算法工具箱,各类算法-Simulated Annealing Algorithm Matlab toolbox, various algorithms
Platform: | Size: 54272 | Author: 陈坚 | Hits:

[AI-NN-PRSA_TSP_Rev1

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 | Hits:

[matlabsimulate_annealing_of_dejong_function

Description: simulated annealing code of dejong function -simulated annealing code of dejong function
Platform: | Size: 4096 | Author: 赵巾 | Hits:

[AI-NN-PRSimulateAlgorithmo_TSP

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 | Hits:

[Algorithmc_inference_ver2.2

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 | Hits:

[matlabSimulatedAnnealingAlgorithm

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 | Hits:

[AI-NN-PRSA

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 | Hits:

[AI-NN-PRsa_tsp

Description: 模拟退火求解TSP问题,代码用MATLAB编写的-Simulated Annealing to solve TSP problems, code written with MATLAB
Platform: | Size: 1024 | Author: TL | Hits:

[matlabsa_01

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 | Hits:

[transportation applicationstsp+vrp

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 | Hits:

[AI-NN-PRsimulated_annealing_algorithm

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 | Hits:

[matlabSimulatedAnnealing

Description: Simulated Annealing Impelemtation in MATLAB
Platform: | Size: 3072 | Author: balatas | Hits:

[matlab0-1-knapsack-problem

Description: 模拟退火解决0-1背包问题,初学者可以借鉴-Simulated annealing to solve 0-1 knapsack problem, beginners can learn from
Platform: | Size: 4096 | Author: 马贺 | Hits:

[AI-NN-PRSAA-MATLAB

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 | Hits:

[Windows Developsimulatedannealing

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 | Hits:

[matlabsatools

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 | Hits:

[matlabSA-TSP-Matlab

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 | Hits:

[matlabMATLAB-Code-for-Simulated-Annealing

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 | Hits:
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