一个关于Aquila优化器的全面调查
Buddhadev Sasmal1, Abdelazim G Hussien2,3,4, Arunita Das1
1Department of Computer Science and Application, Midnapore College (Autonomous), Paschim Medinipur, West Bengal India.
概括
阿奎拉优化器 (AO) 是一种以自然为灵感的算法,在复杂的优化任务中表现出强的性能. 本调查详细介绍了AO的改进,并证实了其与其他算法相比的竞争结果.
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:
- 阿奎拉优化器 (AO) 是一个基于人口的自然灵感优化算法 (NIOA),于2021年开发.
- AO模仿了鱼鸟捕食猎物的行为.
- 它因其在解决复杂和非线性优化问题的有效性而迅速获得认可.
研究的目的:
- 为了展示Aquila优化器的最新调查.
- 记录和分析增强的AO变体及其多样化的应用.
- 严格评估 AO 与竞争对手 NIOA 的业绩.
主要方法:
- 对现有的关于AO变体和应用的文献进行了全面的审查.
- 使用标准数学基准函数对AO与同行NIOA进行比较分析.
- 对算法性能指标的经验评估.
主要成果:
- AO在处理复杂和非线性优化挑战方面表现出显著的有效性.
- 增强的AO变体在各种应用领域显示出更好的性能.
- 对比研究证实了AO相对于其他最先进的NIOA的竞争结果.
结论:
- 阿奎拉优化器是优化领域的一个强大而有竞争力的算法.
- 对AO变异和应用的进一步研究是有必要的.
- AO是解决复杂计算问题的宝贵工具.
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