Coronavirus Mask Protection Algorithm:A New Bio-inspired Optimization Algorithm and Its Applications
作者机构:School of Mechanical and Power EngineeringHenan Polytechnic UniversityJiaozuo454003China School of Mechanical EngineeringDalian University of TechnologyDalian116024China School of SoftwareHenan Polytechnic UniversityJiaozuo454003China
出 版 物:《Journal of Bionic Engineering》 (仿生工程学报(英文版))
年 卷 期:2023年第20卷第4期
页 面:1747-1765页
核心收录:
学科分类:12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术(可授工学、理学学位)]
基 金:supported by Henan Natural Science Foundation,No.222300420168,Yongliang Yuan Science and Technology Plan Project of Henan Province,No.222102210182,Jianji Ren National Natural Science Foundation of China,No.52005081,Xiaokai Mu Natural Science Foundation of Henan Polytechnic University,B2021-31,Yongliang Yuan Nonlinear equipment dynamics team of Henan Polytechnic University,T2019-5,Junkai Fan Fundamental Research Funds for the Universities of Henan Province,NSFRF220415,Yongliang Yuan
主 题:Coronavirus Mask Protection Algorithm Bionic algorithm Metaheuristic algorithm Optimization algorithm Truss optimization Parameter identification
摘 要:Nowadays,meta-heuristic algorithms are attracting widespread interest in solving high-dimensional nonlinear optimization *** this paper,a COVID-19 prevention-inspired bionic optimization algorithm,named Coronavirus Mask Protection Algorithm(CMPA),is proposed based on the virus transmission of *** main inspiration for the CMPA originated from human self-protection behavior against *** CMPA,the process of infection and immunity consists of three phases,including the infection stage,diffusion stage,and immune ***,wearing masks correctly and safe social distancing are two essential factors for humans to protect themselves,which are similar to the exploration and exploitation in optimization *** study simulates the self-protection behavior mathematically and offers an optimization *** performance of the proposed CMPA is evaluated and compared to other state-of-the-art metaheuristic optimizers using benchmark functions,CEC2020 suite problems,and three truss design *** statistical results demonstrate that the CMPA is more competitive among these state-of-the-art ***,the CMPA is performed to identify the parameters of the main girder of a gantry *** show that the mass and deflection of the main girder can be improved by 16.44%and 7.49%,respectively.