At the same time, the research of optimization theory is important to improve algorithm performance and widen its application fields.
同时，优化方法的理论研究对改进算法的性能、拓宽算法应用领域、完善算法体系同样具有重要作用。
Branch and Bound algorithm is a general method for solving Combinatorial Optimization Problems. Parallelization is an effective means to improve the algorithm performance.
分枝限界算法是一种求解组合优化问题的一般性方法，并行化是提高算法性能的有效手段。
The paper analyzes the influence of the parameters, such as ant population, on the algorithm performance.
本文也通过实验分析了蚂蚁数量等参数对算法性能的影响。
The mutation strategy was improved so that the optimized DE algorithm performance was further improved on function optimization.
通过对差分演化算法的变异策略改进，使优化后的差分演化算法在函数优化方面性能得到进一步提高。
The computational results of numerical example and algorithm performance experiment verify the feasibility and effectiveness of models and algorithms.
通过算例分析和算法性能测试，说明了模型及算法的可行性与有效性。
The conclusion is that the algorithm performance can be improved by only augmenting array aperture without reforming algorithm itself.
得出不需要对算法进行改进只需增大阵列孔径就可以提高算法性能的结果。
Experimental results demonstrate that the algorithm performance is greatly enhanced compared with the algorithm based on actual measurement.
实验结果表明，该算法较基于实测法的其他任务调度算法在性能上有较大提高。
Principles of each blind estimation structure are presented in this thesis and the algorithm performance is studied by both theoretical analysis and computer simulation.
论文论述了每一种算法结构的原理，从理论分析和计算机仿真两方面对算法性能进行了研究。
Through analysis we know that compared with array region high resolution, this method has simpler and less amount of calculation as well as better algorithm performance.
通过仿真分析可知与阵元域高分辨定位方法相比，该方法计算简单，运算量小，而且算法性能更好。
Fingerprint recognition is considered as the comparative maturity technology in biological feature recognition whose algorithm performance has applied in practical products.
指纹识别技术相对来说是生物特征识别中比较成熟的一种身份确认技术，指纹识别算法性能已达到实用的程度。
Experimental results show that this algorithm has a better performance in the accuracy of classification than CVFDT algorithm performance as the samples increase in numbers.
实验结果证明该算法随着样本数目的增加在分类精度上比CVFDT算法有更好的表现。
For accelerating the algorithm convergence and avoiding the local optimization, an individual learning mechanism is often applied to generic algorithm to improve algorithm performance.
在遗传算法中引入个体学习机制能够提高算法的性能，避免算法收敛过慢或陷入局部最优。
We test the algorithm performance in the cases of single watermark, double watermarks and multi watermarks when different distortions such as JPEG compression, image resizing and cropping are applied.
该文就单水印，双水印以及多水印情形进行了仿真并进行JPEG压缩、图像缩放、剪切等失真测试。
We test the algorithm performance in the cases of single watermark, double watermarks and multi watermarks when different distortions such as JPEG compression, image resizing and cropping are applied.
该文就单水印，双水印以及多水印情形进行了仿真并进行JPEG压缩、图像缩放、剪切等失真测试。
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