海洋捕食者算法:一个审查
Mohammed Azmi Al-Betar1,2, Mohammed A Awadallah3,4, Sharif Naser Makhadmeh1
1Artificial Intelligence Research Center (AIRC), College of Engineering and Information Technology, Ajman University, Ajman, United Arab Emirates.
概括
海洋捕食者算法 (MPA),灵感来自海洋捕食者食,是一个强大的,简单的优化工具. 本综述分析了102项研究,突出了MPA.
科学领域:
- 计算智能是一种计算智能.
- 优化算法 优化算法
- 大自然启发的计算
背景情况:
- 海洋捕食者算法 (MPA) 是一种新的自然启发的元启发式优化算法.
- 它基于海洋捕食者的捕食策略,结合了莱维和布朗运动.
- 海洋保护区的简单性,没有参数的性质和灵活性导致其迅速采用.
研究的目的:
- 对海洋捕食者算法 (MPA) 的首要研究研究进行全面审查和分析.
- 为了说明MPA的灵感,理论基础和趋同行为.
- 检查改进的MPA变体及其在各种优化问题中的应用.
主要方法:
- 对102篇专注于MPA的研究论文进行了系统的文献审查.
- 分析了MPA的核心概念,包括其食机制和数学公式.
- 分类和讨论各种MPA应用程序和增强版本.
主要成果:
- 在广泛的优化问题上,MPA表现出强大的性能.
- 对102项研究的分析证实了算法的显著增长和有效性.
- 已经开发了各种MPA版本,以提高其在复杂,现实世界的问题上的性能.
结论:
- 审查强调了海洋保护区令人印象深刻的能力及其未来发展潜力.
- 批判性讨论确定了MPA的融合行为中的局限性和改进领域.
- 提出了未来的研究方向和MPA的潜在扩展.
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