提出一种带有随机变异的动态差分进化算法。
The dynamic Differential Evolution (DE) algorithm with random mutation was proposed.
采用微分进化算法改进了标准正交设计的均匀性。
The Uniformity of standard orthogonal design is improved by differential evolution method.
提出了一种求解离散优化问题的双种群二进制微分进化算法。
A binary differential evolution algorithm with dual subpopulations algorithm for discrete optimization problems is proposed.
提出一种新的动态调整子种群个体数目的并行差分进化算法。
A novel parallel differential evolution (NPDE) algorithm with dynamically adjusting the number of subpopulation individuals was proposed for solving complex optimization problems.
提出一种基于群体适应度方差自适应二次变异的差分进化算法。
A new adaptive second mutation differential evolution algorithm (ASMDE) based on the variance of the population's fitness is presented.
利用差分进化算法求解该优化问题，并利用可行性规则处理约束。
The optimization problem was solved by differential evolution and the constraints were handled by feasibility-based rule.
在简要介绍基本差分进化算法的基础上，可总结出差分算法家族系列。
Based on the introduction of the basic Differential Evolution Algorithm, this paper sums up the series of the Differential Evolution Algorithms.
提出一种应用双种群二进制微分进化算法求解输电网扩展规划的新方法。
By applying the binary differential evolution algorithm with dual subpopulations, a novel approach of solving transmission network expansion planning is presented.
将微分进化算法扩展到可求解混合变量、有约束的船舶主尺度优化问题。
In this paper, the DE algorithm was expanded to solve the mixed variables, restricted principal dimensions optimization.
利用粒子群算法和差分进化算法的优点，可以获得测向问题的全局最优解。
The ADPSO is a global optimization algorithm for direction finding, which takes advantage of the merits of differential evolutionary algorithm and particle swarm algorithm.
在基本差分进化算法中，融入递增二次函数交叉算子以增加算法的收敛速度。
For the basic differential evolution algorithm, the increasing quadratic function crossover operator was added to increase the convergence speed.
提出了一种解决平面点集最小权三角划分的新方法——最小权三角划分进化算法。
A new algorithm for the minimum weight triangulation (MWT) of points on a plane, called evolutive minimum weight triangulation (EMWT), is presented.
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.
本文建立了微分进化算法的支持向量机模型，有效地解决了产业结构趋势预测问题。
Support vector machine based on differential evolution algorithm is introduced to resolve this problem in this paper.
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。
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.
本研究应用微分进化算法进行电阻抗成像，并将其用于二维真实头模型的阻抗重建中。
This method was applied to the 2D impedance reconstruction of brain section based on real head model.
将微分进化算法的应用范围从求解无约束单目标优化推广到求解一般情形的多目标优化。
The application scope of differential evolution algorithm is extended to a general multi-objective optimization from unconstrained single-objective optimization.
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。
To improve the optimum speed and optimization accuracy of Differential Evolution Algorithm (DEA), an improved DEA was proposed.
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。
An improved Differential Evolution (DE) algorithm was proposed to solve the problem of premature convergence and improve the computational efficiency of DE.
本文研究了一种求解连续变量空间全局优化的进化算法，基于分片二维搜索的修正微分进化算法。
In this paper, we study a new kind of evolutionary algorithm for global optimization over continuous Spaces, a revision of Differential evolution based on piecewise two-dimensional search.
并进行了数值模拟，数值结果表明，改进后的微分进化算法是可行的，有效的，具有精度高且稳定性好等优点。
The results of numerical simulation show that the new approach is effective and feasible which has high accuracy and good stability when solving the inverse problems.
针对电力系统中水火电短期优化调度，这一典型的高维、非凸、非线性优化问题，本文提出一种改进的微分进化算法。
The model based on energy-saving emission reduction and environmental protection, will provided new ideas for optimal scheduling of short-term study of water and thermal power system.
简要介绍了配电网无功优化的数学模型，并采用自适应的微分进化算法作为无功优化算法，算例结果表明该软件应用效果良好。
The math model of reactive power optimization for distribution network is briefly introduced, which applies the adaptive differential evolution algorithm. Case calculation shows its good effect.
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。
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。
A new multi-exponential inversion method for NMR relaxation signals is presented and tested, which is based on differential evolution (DE) algorithm.
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