期刊
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
卷 57, 期 -, 页码 1-15出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.engappai.2016.10.009
关键词
Aerodynamic shape optimization; Teaching-Learning based optimization; Memetic algorithm
类别
资金
- National Natural Science Foundation of China [71101139, 71390331]
- National Science Fund for Distinguished Young Scholars of China [61525304]
- Defense Industrial Technology Development Program, Humanity and Social Science Youth Foundation of Ministry of Education of China [16YJCZH056]
- Key Research Program of Frontier Sciences, Chinese Academy of Sciences [QYZDB-SSW-SYS020]
Aerodynamic shape optimization (ASO) for aircraft is the focus of concern as well as the subject of substantial research issue in aerospace engineering. This paper proposes a novel TLBO (teaching-learning based optimization based) memetic algorithm (TLBO-MA) for optimizing the aerodynamic shape. In the proposed TLBO-MA, an adaptive teaching factor, conservation of information inspired operator and multi-meme learning are incorporated to enhance the searching behavior of standard TLBO. Simulation based on well-known benchmarks and ASO for HTV-2 prototype demonstrates the efficiency of the proposed TLBO-MA.
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