搜索资源列表
GASA
- 基于遗传模拟退火和Otsu法的图像分割。采用一种基于模拟退火算法(SA)的混合遗传算法(GASA),来进行Otsu方法选择阈值,其中进行求解时是非线性的遗传算法(GA)的应用优化了求阈值过程,并尽可能地减少其运算量,而加入SA则避免了遗传算法(GA)常见的早熟收敛现象,从而实现有效简单的图像分割。 -adopt hybrid genetic algorithm(GASA) based on simulated annealing algorithm,choose threshold by O
SA-TSP
- 基于经典的优化算法--模拟退火算法的旅行商问题寻优实现,该算法比较经典,可用于后续一些性能对比分析-The traveling salesman problem-- the classical optimization algorithms and simulated annealing algorithm is implemented based on the algorithm, compare the classic, can be used for the analysis of sub
Simulated-annealing-algorithm
- 模拟退火算法SA matlab程序有关SA算法的详细介绍-Simulated annealing algorithm SA matlab program
SA-OE
- 基于过完备基展开的空间自适应去噪算法。论文《Spatially adaptive image denoising under overcomplete expansion》。-Spatially adaptive image denoising under overcomplete expansion
SA
- 最简单的模拟退火算法,自己编的小程序,用于优化问题,求全局最小值。-simmulated annealing (SA)
spectraMatch
- 这是光谱中比较光谱之间的相似程度的算法,其中包括SA、SCF、SCM、SCA、SGA、SID-This is a degree of similarity between the spectral comparison algorithm spectrum, including SA, SCF, SCM, SCA, SGA, SID