A new multi-exponential inversion method for NMR relaxation signals is presented and tested, which is based on differential evolution (DE) algorithm.
提出了一种基于差分进化(DE)算法的核磁共振弛豫信号多指数反演新方法。
It is based on a new branch of evolution algorithm named differential evolution (DE) and parallel computing techniques implemented on a PC-cluster.
该方法基于新的差异进化(DE)算法和并行计算技术，在PC集群上实现优化。
A mix of Differential Evolution and Particle Swarm Optimization can make a new algorithm.
差分算法与粒子群算法结合可形成新的算法。
To improve the optimum speed and optimization accuracy of Differential Evolution Algorithm (DEA), an improved DEA was proposed.
为了提高差分进化算法(DEA)的收敛速度和寻优精度，提出了一种改进的差分进化算法。
By analyzing the discretized density evolution theory and the differential evolution algorithm, a method is proposed to search optimal irregular LDPC code for joint optimization of the system.
在分析和阐述了离散概率密度演化理论和多维线性空间极值问题的基础上，给出了适合于该方案的非正则ldpc码的搜索算法和搜索结果。
This paper proposed a novel differential evolution algorithm to overcome the premature convergence and slow convergent speed during the late evolution in differential evolution algorithm.
针对差异演化算法存在早熟收敛和后期求解效率低的缺点，提出一种新型差异演化算法。
So, researching numerical computing by Evolution Strategy, Differential Evolution Algorithm and Functional Networks have higher theory value and practical significance.
因此用进化策略、差分演化算法、泛函网络来研究数值计算，有较高的理论价值和实际意义。
A differential evolution algorithm was used to optimize the parameters of the model, and then the computer simulation has been carried out.
采用差分演化算法对模型进行了参数优化并进行了计算机模拟。
Differential evolution algorithm is applied to optimization problem of mechanical design and the basal theory and steps are analysed.
将差异演化算法应用于机械优化设计问题，具体分析了差异演化算法的基本原理和步骤。
Experimental results show that the algorithm for choosing a proper jumping rate outperforms the conventional differential evolution on the precision and the stability for medical image registration;
并且线性递减跃变率的对等差异进化配准算法比固定对等跃变率和线性递增跃变率的配准更精确、更稳定。
The differential evolution is a simple, reliable and efficient global optimization algorithm.
差异进化算法是一种简单、可靠和有效的全局优化算法。
On account of the advantages of the differential evolution such as searching efficiency and robustness, this paper applies the algorithm and Monte Carlo simulation to a cascade hydro plants system.
利用微分进化算法鲁棒性强、搜索效率高的特点，与蒙特卡洛方法对模型进行求解。
An improved Differential Evolution (DE) algorithm was proposed to solve the problem of premature convergence and improve the computational efficiency of DE.
针对差分进化(DE)算法收敛早熟与计算效率不理想的问题，提出一种改进的差分进化算法。
By using differential evolution, the proposed algorithm finds the global optimal solution of objective function and obtains the separating matrix so that the signals are separated successfully.
该算法采用差分进化算法对目标函数自动寻优，求得分离矩阵，从而分离出信号。
By using differential evolution, the proposed algorithm finds the global optimal solution of objective function and obtains the separating matrix so that the signals are separated successfully.
该算法采用差分进化算法对目标函数自动寻优，求得分离矩阵，从而分离出信号。
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