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differential evolution
[ˌdɪfəˈrenʃl ˌiːvəˈluːʃn]

  • 差分进化:一种用于全局优化的进化算法,通过对种群中的个体进行变异、交叉和选择操作来寻找最优解。

专业释义英英释义

  • 差分进化 - 引用次数:79

    A kind of WC method - improved differential evolution (IDEP) algorithm is proposed.

    5) 提出了改进的差分进化*DEP)算法,它是一种权值约束方法。

    参考来源 - 基于先验知识的神经元网络建模与应用
    差分演化 - 引用次数:30

    A new strategy based on differential evolution algorithm is designed to solve travelling salesman problems(TSP).

    设计了基于差分演化算法的新算法来求解旅行商问题。

    参考来源 - 差分演化算法求解旅行商问题
    差异进化 - 引用次数:3

    Constrained optimization evolutionary algorithm based on memory, which integrates particle swarm optimization (PSO) with differential evolution (DE), named MCOEA, is proposed. A population and a memory unit are evolved in the evolution progress.

    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)。

    参考来源 - 改进的进化算法用于求解约束优化问题
  • 微分进化 - 引用次数:19

    In parameters selection of SVM, according to the character that SVM’s performance is multi-peak function of parameters, the differential evolution (DE) algorithm with strong global optimization ability was used to solve the parameters selection of SVM.

    在SVM参数选择方面,针对SVM的性能一般是参数的多峰函数的特点,研究了利用全局优化能力强的微分进化算法(DE)解决SVM的参数选择问题。

    参考来源 - 支持向量机算法及其在雷达干扰效果评估中的应用研究
    差异进化 - 引用次数:9

    参考来源 - 差异进化算法在永磁同步电机优化设计中的应用
  • 差分进化 - 引用次数:5

    参考来源 - 基于优进策略的差分进化算法及其化工应用

·2,447,543篇论文数据,部分数据来源于NoteExpress

Differential evolution

  • abstract: In computer science, differential evolution (DE) is a method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. Such methods are commonly known as metaheuristics as they make few or no assumptions about the problem being optimized and can search very large spaces of candidate solutions.

以上来源于: WordNet

双语例句

  • 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参数选择问题

    youdao

  • Support vector machine based on differential evolution algorithm is introduced to resolve this problem in this paper.

    本文建立微分进化算法支持向量模型,有效解决了产业结构趋势预测问题。

    youdao

  • 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优化问题,并利用可行性规则处理约束

    youdao

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