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Improving Artificial Bee Colony Algorithm Using a Dynamic Reduction Strategy for Dimension Perturbation

机译：改善人工蜂殖民地算法利用动态减少策略进行维度扰动

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摘要

To accelerate the convergence speed of Artificial Bee Colony (ABC) algorithm, this paper proposes a Dynamic Reduction (DR) strategy for dimension perturbation. In the standard ABC, a new solution (food source) is obtained by modifying one dimension of its parent solution. Based on one-dimensional perturbation, both new solutions and their parent solutions have high similarities. This will easily cause slow convergence speed. In our DR strategy, the number of dimension perturbations is assigned a large value at the initial search stage. More dimension perturbations can result in larger differences between offspring and their parent solutions. With the growth of iterations, the number of dimension perturbations dynamically decreases. Less dimension perturbations can reduce the dissimilarities between offspring and their parent solutions. Based on the DR, it can achieve a balance between exploration and exploitation by dynamically changing the number of dimension perturbations. To validate the proposed DR strategy, we embed it into the standard ABC and three well-known ABC variants. Experimental study shows that the proposed DR strategy can efficiently accelerate the convergence and improve the accuracy of solutions.
机译：为了加速人造群菌落（ABC）算法的收敛速度，本文提出了一种动态减少（DR）尺寸扰动策略。在标准ABC中，通过修改其母体解决方案的一个维度来获得新的解决方案（食物来源）。基于一维扰动，新的解决方案及其母体解决方案都具有高相似之处。这将很容易地引起慢的收敛速度。在我们的DR策略中，尺寸扰动的数量在初始搜索阶段分配了大值。更多维度扰动可能导致后代和父解决方案之间的较大差异。随着迭代的增长，维度扰动的数量动态减少了。较少的尺寸扰动可以减少后代和母体解决方案之间的异化。基于DR，通过动态地改变尺寸扰动的数量，它可以在勘探和利用之间实现平衡。为了验证拟议的DR策略，我们将其嵌入标准ABC和三个众所周知的ABC变体中。实验研究表明，拟议的DR策略可以有效地加速收敛性并提高解决方案的准确性。

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  • 来源
    《Mathematical Problems in Engineering》 |2019年第16期|3419410.1-3419410.11|共11页
  • 作者

    Yu Gan; Zhou Hongzhi; Wang Hui;

  • 作者单位

    Fuyang Normal Univ Coll Informat Engn Fuyang 236041 Peoples R China;

    Fuyang Normal Univ Coll Informat Engn Fuyang 236041 Peoples R China;

    Nanchang Inst Technol Sch Informat Engn Nanchang 330099 Jiangxi Peoples R China|Jiangxi Prov Key Lab Water Informat Cooperat Sens Nanchang 330099 Jiangxi Peoples R China;

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