汽车工程学报2024，Vol.14Issue(6)：1061-1071,11.DOI:10.3969/j.issn.2095‒1469.2024.06.13
启发式优化算法及其在汽车零部件优化设计中的应用对比研究
Comparative Study on Heuristic Optimization Algorithms and Their Application in Automobile Parts Optimization Design
摘要
Abstract
In the process of designing automobile structures and components,a series of optimization is required to achieve optimal performance,the lightest weight,and the highest efficiency.Due to the complexity of optimization problems,the heuristic intelligent optimization algorithms are typically used to solve them.However,the mechanisms of the heuristic optimization algorithms are not well understood,and their effectiveness in optimization design of automobile parts have not been fully studied.Therefore,selecting appropriate algorithms for different problems is challenging.In this paper,representative algorithms were derived and expressed uniformly.Fifty-two sets of mathematical benchmark functions and five automobile parts optimization design cases were tested.The results show that the two types of hybrid improved algorithms perform well in the optimization design of automobile parts.Recommendations for engineering applications and directions for future algorithm research were also provided.关键词
启发式智能优化算法/轻量化设计/算法适用性度量/对比研究Key words
heuristic intelligence optimization algorithm/lightweight design/algorithm applicability measurement/comparative Study分类
信息技术与安全科学引用本文复制引用
邱荣英,张博钦,刘钊..启发式优化算法及其在汽车零部件优化设计中的应用对比研究[J].汽车工程学报,2024,14(6):1061-1071,11.基金项目
上海市自然科学基金项目(21ZR1431500) （21ZR1431500）
