• 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • Aiming at the defects of BP artificial neural network, combined with Differential Evolution Algorithm, the paper proposes a tourist quantity prediction model based on DE-BP neural network.

    针对BP人工神经网络所存在的缺陷,结合差异演化算法,提出了基于DE - BP神经网络的旅游客源预测模型。

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  • Aiming at the defects of BP artificial neural network, combined with Differential Evolution Algorithm, the paper proposes a tourist quantity prediction model based on DE-BP neural network.

    针对BP人工神经网络所存在的缺陷,结合差异演化算法,提出了基于DE - BP神经网络的旅游客源预测模型。

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