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- 我自己编写的基于GASA的图像配准可执行程序
gasa
- 遗传算法求解结构约束优化问题，希望对大家有所帮助-no no no no no no no no no no no no no no no no no
GASA
- 图像分割的优化算法，结合了遗传算法和模拟退火算法，并将优化算法和原始otsu方法进行了比较-Optimization of image segmentation algorithm that combines genetic algorithm and simulated annealing algorithm and optimization algorithm and the original method otsu are compared
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
GASA
- 遗传模拟退火算法求解f(x)=xcosx+2的最大值-Genetic simulated annealing algorithm for solving f (x) = xcosx+ 2 of the maximum
GASA
- 遗传算法和模拟算法的结合通用程序，提高了问题解决的效率，和结果的精度需求-Genetic algorithms and simulated algorithm combined with the general program to improve the efficiency of problem-solving, and the results of the accuracy of demand
GASA
- 模拟退火算法和遗传算法，智能算法里面的两个重要算法思想-Simulated annealing algorithm and genetic algorithms, intelligent algorithms inside two important algorithms thought the program has passed the test can be run directly
GASA
- 运用模拟退火遗传算法解决路径优化问题，其中已给出中文注释(GASA for VPR.Simulated Annealing Genetic Algorithms (SAGA) is used to solve the problem of path optimization, in which Chinese annotations are given.)