Imperial College London
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ProfessorDenisDoorly

Faculty of Engineering, Department of Aeronautics

Professor of Fluid Mechanics
 
 
 
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Contact

 

d.doorly

 
 
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Location

 

313ACity and Guilds BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Doorly:1999:10.2514/6.1999-111,
author = {Doorly, DJ and Peiró, J and Spooner, S},
doi = {10.2514/6.1999-111},
title = {Design optimisation using distributed evolutionary methods},
url = {http://dx.doi.org/10.2514/6.1999-111},
year = {1999}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - This paper describes evolutionary search procedures and their application to some aeronautical optimisation problems. Genetic algorithms (GAs) have now been applied to many different fields, and have proven to be relatively robust means to search for optimal solutions. The focus in this work is on techniques to improve the efficiency of the simple GA, and on applications of GAs to problems in aeronautical design optimisation. The distributed genetic algorithm (DGA) is outlined, which has previously been found to perform substantially better than the conventional single population GA in many problems. As well as offering higher search efficiency, the DGA also offers further computational efficiency through parallel implementation. In the DGA, the population of trial solutions is split into semi-isolated subpopulations or ’denies’. The use of an agent to supervise the operation of the DGA, and some forms in which it may be implemented are outlined. Evolutionary learning techniques and competitive agent strategies are also discussed. Applications to problems of airfoil optimisation, and to the design of adaptive surface airfoils are considered.
AU  - Doorly,DJ
AU  - Peiró,J
AU  - Spooner,S
DO  - 10.2514/6.1999-111
PY  - 1999///
TI  - Design optimisation using distributed evolutionary methods
UR  - http://dx.doi.org/10.2514/6.1999-111
ER  -
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