控制工程的宇宙启发的算法:一个审查
Rodrigo M C Bernardo1, Delfim F M Torres2, Carlos A R Herdeiro2
1Center for Mechanical Technology & Automation (TEMA), Department of Mechanical Engineering, University of Aveiro, 3810-193 Aveiro, Portugal.
Heliyon
|June 17, 2024
概括
自然启发的控制算法,特别是那些模仿引力吸引力的控制算法,显示出显著的前景. 引力启发和黑洞算法在控制工程应用中提供了卓越的性能.
科学领域:
- 控制工程 控制工程 控制工程
- 计算智能是一种计算智能.
- 大自然启发的计算
背景情况:
- 控制算法通常从自然现象和生物行为中汲取灵感.
- 物体之间的引力吸引力为开发先进的控制策略提供了一个独特的基础.
研究的目的:
- 审查引力吸引力启发的控制系统的重大突破.
- 分析相关算法的性能,基础和配方.
- 探索宇宙灵感算法在动态系统控制中的影响和应用.
主要方法:
- 对91篇相关研究论文进行了全面审查.
- 分析的重点是人工潜力场和诸如重力搜索算法,黑洞算法,多节优化器和银河队群优化等元启发学.
- 研究了这些算法的标准,改进,修改,混合,模糊,混乱和自适应版本.
主要成果:
- 引力启发和黑洞算法表现出强的性能,通常在控制工程中表现优于其他已建立的算法.
- 尽管这些算法并不严格基于天体物理定律,但它们显示出显著的有效性.
- 确定了许多与控制相关的应用程序,以及它们的优点和局限性.
结论:
- 灵感来自宇宙的算法,特别是那些基于引力和黑洞的算法,为控制工程提供了一种强大的方法.
- 未来的研究可以将控制理论与牛顿/爱因斯坦物理学联系起来,以获得复杂的控制规律.
- 这些发现支持在各种领域应用的先进控制系统的开发.
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