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An improved differential evolution with information intercrossing and sharing mechanism for numerical optimization

机译：对数值优化信息交互和共享机制的改进差分演进

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摘要

This paper presents a novel differential evolution algorithm by designing a stochastic mixed mutation strategy and an information intercrossing and sharing mechanism. To effectively avoid the premature convergence and enhance the information dissemination between subpopulations under the work specialization, a stochastic mixed mutation strategy is first proposed by incorporating a cosine perturbation into the probability parameter setting and using two mutation strategies with this probability to balance the exploration and exploitation. Then, an information intercrossing and sharing mechanism is developed to make good use of the information of individuals by dividing the population into superior and inferior subpopulations according to their fitness values and exchanging or sharing their information. Furthermore, a simple and efficient approach is applied to adjust control parameters. Finally, the proposed algorithm is compared with twelve typical algorithms by numerical experiments on 55 benchmark functions from both CEC2005 and CEC2014, and is applied to solve the Parameter Estimation for Frequency-Modulated Sound Waves. Experimental results show that the proposed algorithm is very competitive.
机译：本文通过设计随机混合突变策略和信息交互和共享机制来介绍一种新型差分演化算法。为了有效避免过早收敛和增强工作专业化的亚步骤之间的信息传播，首先通过将余弦扰动纳入概率参数设置并使用两个突变策略来平衡勘探和剥削的概率来提出随机混合突变策略。然后，开发了一种信息交互和共享机制，通过将人口除以根据其健身值并交换或分享他们的信息来良好地利用个人信息。此外，应用简单有效的方法来调整控制参数。最后，通过来自CEC2005和CEC2014的55个基准函数的数值实验，将所提出的算法与来自CEC2005和CEC2014的55个基准函数进行比较，并且应用于解决频率调制声波的参数估计。实验结果表明，该算法非常有竞争力。

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