23rd Congress of International Council of the Aeronautical Sciences, 8-13 September, 2002, Toronto, Canada
Paper ICAS 2002-5.9.4

ADAPTIVE SELECTION OF PARETO OPTIMAL ENGINE TECHNOLOGY SOLUTION SETS

B. Roth (1), M. Graham (1), D. N. Mavris (1), N. Macsotai (2)
(1) Georgia Institute of Technology, USA; (2) GE Aircraft Engines, Cincinnati, USA

Keywords: genetic, algorithm, engine, technology, selection, pareto

This paper describes a method of selecting optimal combinations of engine technologies. This method employs a technology impact forecasting environment in conjunction with genetic algorithms to find Pareto-optimal technology solution sets. These method is used to find robust or compromise technology combinations. These methods are applied to select engine technology combinations for a commercial engine.

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