冠状病毒口罩保护算法:一种新的生物灵感优化算法及其应用
Yongliang Yuan1, Qianlong Shen1, Shuo Wang2
1School of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo, 454003 China.
Journal of bionic engineering
|June 26, 2023
概括
一个新的冠状病毒口罩保护算法 (CMPA),受到COVID-19预防的启发,为复杂的优化问题提供了竞争性的方法. 这种生物算法在工程应用中显示了更好的性能.
科学领域:
- 计算智能是一种计算智能.
- 优化算法 优化算法
- 生物启发的计算 生物启发的计算
背景情况:
- 超启发式算法对于解决高维非线性优化问题至关重要.
- 现有的算法在复杂的现实场景中往往缺乏效率.
- COVID-19大流行突显了公共卫生措施的重要性,并激发了新的方法.
研究的目的:
- 提出一种新的元启发算法,即冠状病毒口罩保护算法 (CMPA),其灵感来源于COVID-19预防策略.
- 为了优化,数学模型人类的自我保护行为 (口罩,社交距离).
- 在基准和工程问题上与最先进的算法对比,评估CMPA的性能.
主要方法:
- 开发了基于COVID-19传播动态和人类自我保护的冠状病毒口罩保护算法 (CMPA).
- 模拟感染,扩散和免疫阶段,包括探索 (掩盖) 和利用 (社交距离).
- 在基准功能 (CEC2020) 和架设计问题上测试了CMPA,并比较了它的有效性.
主要成果:
- 与其他先进的元启发优化器相比,CMPA表现出了竞争力的表现.
- 该算法成功地被应用到识别门架起重机主梁的参数.
- 取得了显著的改进:主要梁的质量减少了16.44%,曲率减少了7.49%.
结论:
- 冠状病毒口罩保护算法 (CMPA) 是一个有前途且有效的元启发式优化器.
- CMPA的生物灵感方法模拟了COVID-19的自我保护,在复杂的优化任务中产生了卓越的结果.
- 该算法显示了实际应用性和工程设计优化的潜力,正如门架起重机应用程序所证明的那样.
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