Journal
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
Volume 57, Issue -, Pages 1-15Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.engappai.2016.10.009
Keywords
Aerodynamic shape optimization; Teaching-Learning based optimization; Memetic algorithm
Categories
Funding
- 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]
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available