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.
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.
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.
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.
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.
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.
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