Name
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. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.engappai.2016.10.009 | Eng. Appl. of AI |
Keywords | Field | DocType |
Aerodynamic shape optimization,Teaching-Learning based optimization,Memetic algorithm | Memetic algorithm,Mathematical optimization,Computer science,Operator (computer programming),Aerodynamic shape optimization,Aerodynamics | Journal |
Volume | Issue | ISSN |
57 | C | 0952-1976 |
Citations | PageRank | References |
9 | 0.48 | 48 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xinghua Qu | 1 | 10 | 2.88 |
| Ran Zhang | 2 | 33 | 13.46 |
| Bo Liu | 3 | 384 | 22.61 |
| Huifeng Li | 4 | 9 | 1.16 |