改进了用于预测元材料设计带宽的Dipper-Throated优化,用于工程应用
Amal H Alharbi1, Abdelaziz A Abdelhamid2,3, Abdelhameed Ibrahim4
1Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
Biomimetics (Basel, Switzerland)
|June 27, 2023
概括
本研究引入了一种改进的群优化算法 (DTACO),用于准确预测元材料天线带宽. 与现有方法相比,DTACO算法在特征选择和回归任务中表现出优异的性能.
科学领域:
- 超材料和电磁波操纵.
- 先进的天线设计和性能预测.
背景情况:
- 超材料具有独特的特性,可以操纵电磁波.
- 应用包括隐形斗,先进的电子设备和新型天线.
- 准确的带宽预测对于元材料天线的开发至关重要.
研究的目的:
- 提出一个改进的喉基殖民地优化 (DTACO) 算法.
- 为了预测超材料天线的带宽.
- 评估DTACO算法在特征选择和回归方面的有效性.
主要方法:
- 开发了DTACO算法,对群优化进行了增强.
- 在元材料天线数据集上应用DTACO进行特征选择和回归.
- 将DTACO与最先进的算法进行比较:DTO,ACO,PSO,GWO和WOA.
- 对基于DTACO的集合模型与MLP,SVR和RF回归器进行评估.
主要成果:
- DTACO算法显示出强大的特征选择能力.
- DTACO算法证明了有效的回归技能,用于带宽预测.
- 统计测试 (Wilcoxon排列和,ANOVA) 证实了基于DTACO的模型的一致性和卓越性能.
结论:
- 拟议的DTACO算法对于元材料天线带宽预测是有效的.
- 在相关任务中,DTACO的性能优于现有的优化算法.
- 基于DTACO的组合模型为天线设计提供了一个强大的解决方案.
相关概念视频
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