• This method not only overcomes the shortage of basic ant colony algorithm, but also perfectly realizes the optimization of PID control parameter.

    该方法克服了基本蚁群算法的不足,能够满意地实现PID控制参数优化。

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  • The convergence error of hybrid ant colony algorithm is small in comparison to that of recursive least square algorithm and basic ant colony algorithm.

    分别用递推最小二乘算法、基本蚁群算法与混合蚁群算法训练模糊系统,混合蚁群算法的收敛效果优于递推最小二乘算法与基本蚁群算法。

    youdao

  • Also this paper discusses the basic method of ant colony algorithm to optimize PID control parameter.

    探讨了遗传算法优化PID参数的基本方法,着重研究了改进遗传算法的PID控制优化。

    youdao

  • After the basic theory of ACA is introduced, a multiprocessors scheduling policy based on an improved ant colony algorithm is proposed in this paper.

    在介绍蚁群算法基本原理以及探讨该算法的缺陷基础上,针对多处理器任务调度问题,提出了一种基于改进型蚁群算法的调度策略。

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  • The basic ant colony clustering algorithm in the calculation of similarity, due to not take direction between adjacent objects, often caused by clustering algorithms do not even slow convergence.

    基本蚁群聚类算法在计算相似度时,由于没有考虑相邻对象之间方向的影响,往往造成聚类速度缓慢甚至算法不收敛。

    youdao

  • The basic and typical algorithm of swarm intelligence is particle swarm optimization and Ant colony oprimation.

    目前,群智能理论研究领域有两种主要的算法:微粒群优化算法和蚁群优化算法。

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  • In order to overcome the shortcoming of basic ant algorithm, a new ant algorithm, Adaptive ant Colony algorithm (AACA), is proposed in this paper.

    针对蚂蚁算法的不足,该文提出了一种自适应蚁群算法。

    youdao

  • The ant colony algorithm is a new class of population basic algorithm.

    蚁群算法是一种新型的基于群体的仿生算法。

    youdao

  • The basic theory of ant colony algorithm is applied to shortest path search in the logistics network of distribution for reducing the cost of logistic distribution.

    将蚁群算法的基本原理用到物流配送网最短路径搜索中,对降低配送成本有重要意义。

    youdao

  • The basic theory of ant colony algorithm is applied to shortest path search in the logistics network of distribution for reducing the cost of logistic distribution.

    将蚁群算法的基本原理用到物流配送网最短路径搜索中,对降低配送成本有重要意义。

    youdao

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