鱼优化算法的系统审查:理论基础,改进和杂交
Mohammad H Nadimi-Shahraki1,2, Hoda Zamani1,2, Zahra Asghari Varzaneh3
1Faculty of Computer Engineering, Najafabad Branch, Islamic Azad University, Najafabad, 8514143131 Iran.
Archives of computational methods in engineering : state of the art reviews
|June 26, 2023
概括
鱼优化算法 (WOA) 有许多变体,但缺乏全面的审查. 本研究系统地分析了五年来WOA的发展情况,确定了用于增强优化算法的有效改进和混合化技术.
科学领域:
- 计算智能是一种计算智能.
- 超启发式优化优化
- 算法分析 算法分析
背景情况:
- 鱼优化算法 (WOA) 是一个受欢迎的元启发式,但存在一些局限性.
- 通过改进和杂交,许多WOA变种已经开发出来.
- 需要对WOA变种及其发展进行批判性审查.
研究的目的:
- 批判性地分析鱼优化算法 (WOA).
- 系统地审查过去五年开发的WOA变体.
- 为WOA.确定有效的改进和杂交技术.
主要方法:
- 为了系统的文献审查,采用了新的 Prisma 方法.
- 通过识别,评价 (三个选步骤,严格标准) 和报告阶段来选择论文.
- 来自知名出版商的59种改进型和57种混合型WOA变种被确定.
主要成果:
- 详细介绍了WOA改进和杂交的有效技术.
- WOA变种被分为连续,二进制,单目标和多/多目标类型.
- 分析显示,在现有文献中,缺乏与以前的WOA变体进行全面比较.
结论:
- 本综述提供了对WOA进展的结构化分析,并确定了研究缺口.
- 该研究强调需要在WOA研究中进行更严格的比较分析.
- 提出了未来的研究方向,以开发更成功的WOA变种.
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