Augmented hunger games search algorithm using logarithmic spiral opposition-based learning for function optimization and controller design

Q1 Chemical Engineering
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引用次数: 0

Abstract

This paper explains the construction of a novel augmented hunger games search algorithm using a logarithmic spiral opposition-based learning technique. The proposed algorithm (LsOBL-HGS) is used as an efficient tool for both function optimization and controller design. To assess the performance of the algorithm for function optimization, benchmark functions from the CEC2017 test suite were employed and comparisons were made with available and good performing algorithms. In terms of controller design, the proposed LsOBL-HGS algorithm was utilized to design a FOPID controlled magnetic ball suspension system. Comparative assessments were also performed for FOPID controller design, as well using other state-of-the-art methods reported for the magnetic ball suspension system. The results showed that the proposed LsOBL-HGS algorithm has good capability for FOPID controller design employed in a magnetic ball suspension system as it provided an improvement of more than 13% in terms of the transient response-related parameters and more than 34% in terms of bandwidth compared to the best-reported approach used for comparisons.

使用对数螺旋对立学习的增强型饥饿游戏搜索算法,用于函数优化和控制器设计
本文阐述了利用对数螺旋对立学习技术构建的新型增强饥饿游戏搜索算法。所提出的算法(LsOBL-HGS)被用作函数优化和控制器设计的有效工具。为了评估该算法在函数优化方面的性能,采用了 CEC2017 测试套件中的基准函数,并与现有的性能良好的算法进行了比较。在控制器设计方面,利用提出的 LsOBL-HGS 算法设计了一个 FOPID 控制的磁球悬挂系统。此外,还对 FOPID 控制器设计进行了比较评估,并采用了其他已报道的磁球悬挂系统的最新方法。结果表明,所提出的 LsOBL-HGS 算法在磁球悬挂系统的 FOPID 控制器设计方面具有良好的能力,因为与用于比较的最佳报告方法相比,它在瞬态响应相关参数方面提高了 13% 以上,在带宽方面提高了 34% 以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of King Saud University, Engineering Sciences
Journal of King Saud University, Engineering Sciences Chemical Engineering-Fluid Flow and Transfer Processes
CiteScore
12.10
自引率
0.00%
发文量
87
审稿时长
63 days
期刊介绍: Journal of King Saud University - Engineering Sciences (JKSUES) is a peer-reviewed journal published quarterly. It is hosted and published by Elsevier B.V. on behalf of King Saud University. JKSUES is devoted to a wide range of sub-fields in the Engineering Sciences and JKSUES welcome articles of interdisciplinary nature.
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