Description: 模拟退火算法工具箱介绍 研究sa很有用的东西-simulated annealing algorithm toolbox the study sa very useful things Platform: |
Size: 153600 |
Author:kevin |
Hits:
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:
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:
Description: 用模拟退火优化遗传算法，使遗传算法具有反向搜索能力，通过仿真表明能够得到更优的值。-Optimization by simulated annealing genetic algorithm, genetic algorithm so that the reverse search capabilities, through the simulation shows that can be better value. Platform: |
Size: 12288 |
Author:史峰 |
Hits:
Description: 用模拟退火算法求30个城市的旅行商问题的C程序-Simulated Annealing Algorithm with 30 cities of the TSP C program Platform: |
Size: 1027072 |
Author:li qing |
Hits:
Description: 一种新型的算法，将模拟退火法和遗传算法相结合，用于求解预测问题-A new algorithm, simulated annealing and genetic algorithm are combined to solve the prediction problem for Platform: |
Size: 3072 |
Author:秦朗 |
Hits:
Description: 模拟退火算法，基本算法，内附部分说明以及本人学习笔记-Simulated annealing algorithm, the basic algorithm, I am enclosing some notes, and study notes Platform: |
Size: 22528 |
Author:jay |
Hits:
Description: 模拟退火算法是局部搜索算法的扩展，以一定的概率选择领域中费用值大的状态-Simulated annealing algorithm is an extension of local search algorithm to choose a certain probability value of large areas of the state fee Platform: |
Size: 2048 |
Author:周同同 |
Hits:
Description: 模拟退火算法的MATLAB范例程序！对初步了解的初学者有不错的帮助！-Simulated annealing algorithm MATLAB example program! Preliminary understanding of the beginners have a good help! Platform: |
Size: 139264 |
Author:瞿颜 |
Hits:
Search - annealing simulated