Integer coding for a differential evolution strategy was proposed.
提出了微分进化策略的整数编码方法。
The dynamic Differential Evolution (DE) algorithm with random mutation was proposed.
提出一种带有随机变异的动态差分进化算法。
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。
The Uniformity of standard orthogonal design is improved by differential evolution method.
采用微分进化算法改进了标准正交设计的均匀性。
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。
The parameters selection of differential evolution (DE) is studied by experiments on some benchmark examples.
首先基于一些实例研究了差异演化（DE）的参数选择问题；
To solve the comprehensive planning of distribution networks, a fuzzy differential evolution algorithm is proposed.
针对配电网综合规划问题提出一种模糊微分演化算法。
Support vector machine based on differential evolution algorithm is introduced to resolve this problem in this paper.
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。
The optimization problem was solved by differential evolution and the constraints were handled by feasibility-based rule.
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。
A binary differential evolution algorithm with dual subpopulations algorithm for discrete optimization problems is proposed.
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。
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。
Using a new range encoding mapping, the differential evolution algorithm can be used to deal with discrete optimization problem.
其次，利用一种新的区间编码映射机制，将差异演化算法扩展到求解离散领域优化问题。
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。
A new adaptive second mutation differential evolution algorithm (ASMDE) based on the variance of the population's fitness is presented.
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 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。
In this paper, the optimization method of degree distributions for irregular LDPC codes is presented, which is based on differential evolution.
讨论了基于差分进化的非规则ld P C码分布对优化方法。
Based on the introduction of the basic Differential Evolution Algorithm, this paper sums up the series of the Differential Evolution Algorithms.
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。
For the basic differential evolution algorithm, the increasing quadratic function crossover operator was added to increase the convergence speed.
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。
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 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。
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。
The application scope of differential evolution algorithm is extended to a general multi-objective optimization from unconstrained single-objective optimization.
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。
By applying the binary differential evolution algorithm with dual subpopulations, a novel approach of solving transmission network expansion planning is presented.
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。
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。
Constrained optimization evolutionary algorithm based on memory, which integrates particle swarm optimization (PSO) with differential evolution (DE), named MCOEA, is proposed.
本文作者还结合记忆策略、差异进化算法和粒子群优化算法提出记忆进化算法(MCOEA)。
A novel parallel differential evolution (NPDE) algorithm with dynamically adjusting the number of subpopulation individuals was proposed for solving complex optimization problems.
提出一种新的动态调整子种群个体数目的并行差分进化算法。
By combining the continuous power flow method with improved differential evolution calculation, the static voltage stability margin is found via optimal grouping of relevant variables.
在连续潮流法的基础上，结合经过改进的差异进化算法，通过对变量的组合优化，求取系统静态电压稳定安全裕度。
By combining the continuous power flow method with improved differential evolution calculation, the static voltage stability margin is found via optimal grouping of relevant variables.
在连续潮流法的基础上，结合经过改进的差异进化算法，通过对变量的组合优化，求取系统静态电压稳定安全裕度。
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