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- W2067118136 abstract "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." @default.
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- W2067118136 date "2004-07-01" @default.
- W2067118136 modified "2023-10-18" @default.
- W2067118136 title "Application of genetic algorithms to lubrication pump stacking design" @default.
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- W2067118136 doi "https://doi.org/10.1016/j.cam.2003.05.022" @default.
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