Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4942764 | Engineering Applications of Artificial Intelligence | 2017 | 15 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Xinghua Qu, Ran Zhang, Bo Liu, Huifeng Li,