An improved TLBO based memetic algorithm for aerodynamic shape optimization

• Published in: Engineering applications of artificial intelligence Vol. 57; pp. 1 - 15
• Main Authors: Qu, Xinghua, Zhang, Ran, Liu, Bo, Li, Huifeng
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.01.2017
• Subjects: Aerodynamic shape optimization; Memetic algorithm; Teaching-Learning based optimization; Aerodynamic shape optimization; Memetic algorithm; Teaching-Learning based optimization
• ISSN: 0952-1976; 1873-6769
• DOI: 10.1016/j.engappai.2016.10.009

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.