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1)  Global Texture Optimization
全局纹理优化
1.
In the last part of this dissertation, the Global Texture Optimization algorithm based on Expectation Maximum method is well studied, then we revise the original global texture optimization method and propose a novel algorithm of image inpainting.
最后,我们深入研究了基于EM算法的全局优化纹理合成算法,并对其进行改进,提出了一种基于全局纹理优化的图像修复算法,在图像修补和移除冗余物体方面的应用取得了较好的效果。
2)  global optimizatiing theory
全局最优化理论
3)  global optimization
全局优化
1.
Efficient interval-genetic algorithm for multi-peak global optimization;
高效求解多峰值全局优化的区间-遗传算法
2.
Improved evolutionary algorithm for global optimization based on a smooth function;
改进的基于平滑函数的全局优化进化算法
3.
Application of a new global optimization to displacement back analysis for geotechnical engineering;
一个新的全局优化算法在岩土工程反分析中的应用
4)  global optimum
全局优化
5)  Overall optimization
全局优化
6)  general optimization
全局优化
1.
Because overestimation is one main limitation in interval computation,computation of interval function and solution of interval equations set are transformed into general optimization problems to determine the boundary of each interval element in the solution in this work.
计算中采用实数编码遗传算法求解全局优化问题。
2.
A new method of polygon metamorphosis based on morphology and general optimization is proposed in this paper.
通过对多边形的凸剖分,并建立2种不同多边形的凸子集映射,提出了一种全新的基于凸多边形变形的全局优化方法。
3.
The experiment for TSP shows that the improved algorithm can obtain better efficiency and general optimization.
TSP的数值实验表明了改进算法的可行性及更好的全局优化性。
补充资料:全局
1.整个的局面。
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