Optimization design of steel frame structure based on multi-population genetic algorithm
Digital Twins and Intelligent Construction|更新时间:2023-11-28
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Optimization design of steel frame structure based on multi-population genetic algorithm
“In the field of structural design, the application of intelligent algorithms has effectively improved design efficiency, but the optimization results depend on parameter settings. Researchers have improved the structural optimization design based on genetic algorithm by introducing multiple group collaboration and information sharing mechanisms, significantly enhancing design efficiency.”
Journal of Civil and Environmental EngineeringVol. 46, Issue 1, Pages: 71-81(2024)
作者机构:
重庆大学 土木工程学院
山地城镇建设与新技术教育部重点实验室,重庆 400045
作者简介:
brief: ZHOU Junwen (1991- ), PhD, research assistant, main research interest: structural optimization design, E-mail: 0zhoujunwen0@cqu.edu.cn.
LIU Jiepeng (corresponding author), professor, doctorial supervisor, E-mail: liujp@cqu.edu.cn.
基金信息:
National Natural Science Foundation of China(52130801);Chongqing Postdoctoral Science Foundation(2021XM2039)
ZHOU Junwen,LIU Jiepeng.Optimization design of steel frame structure based on multi-population genetic algorithm[J].Journal of Civil and Environmental Engineering,2024,46(01):71-81.
ZHOU Junwen,LIU Jiepeng.Optimization design of steel frame structure based on multi-population genetic algorithm[J].Journal of Civil and Environmental Engineering,2024,46(01):71-81. DOI: 10.11835/j.issn.2096-6717.2022.071.
Optimization design of steel frame structure based on multi-population genetic algorithm