Article (Scientific journals)
Application of genetic algorithms to lubrication pump stacking design
Kelner, Vincent; Léonard, Olivier
2004In Journal of Computational and Applied Mathematics, 168 (1-févr Sp. Iss. SI), p. 255-265
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Keywords :
multiobjective optimization; constrained optimization; mixed variables; genetic algorithms; optimal design; aircraft lubrication
Abstract :
[en] Sizing a pump stacking used in an aircraft lubrication system is a challenging task. The combination of several pumps, in parallel and in a single casing, must deliver specified oil flow rates, on a variable number of circuits, and under given flight conditions. Furthermore, the optimal assembly has to minimize overall dimensions, weight and cost. This optimization problem involves a large space search, continuous and discrete variables and multi-objectives. Genetic Algorithms (GA)-stochastic search methods that mimic the metaphor of natural biological evolution-seem well suited to solve that kind of problems. A new GA is proposed. The efficiency of this GA is first demonstrated in solving various mathematical test-cases and then applied to the industrial problem. (C) 2003 Elsevier B.V. All rights reserved.
Disciplines :
Space science, astronomy & astrophysics
Physics
Mathematics
Author, co-author :
Kelner, Vincent ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Turbomachines et propulsion aérospatiale
Léonard, Olivier ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Turbomachines et propulsion aérospatiale
Language :
English
Title :
Application of genetic algorithms to lubrication pump stacking design
Publication date :
01 July 2004
Journal title :
Journal of Computational and Applied Mathematics
ISSN :
0377-0427
eISSN :
1879-1778
Publisher :
Elsevier Science Bv, Amsterdam, Netherlands
Volume :
168
Issue :
1-févr Sp. Iss. SI
Pages :
255-265
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 26 August 2009

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