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Evolutionary computing for spacecraft power subsystem design search and optimization

Evolutionary computing for spacecraft power subsystem design search and optimization

Kordon, Mark; Klimick, Gerhard; Hanks, David; Hua, Hook
URI: http://hdl.handle.net/2014/38392
Date: 2004-03-10
Keywords: power; subsystem; optimization; evolutionary computing
Publisher: Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2004
Citation: 2004 IEEE Aerospace Conference, Big Sky, Montana, March 10, 2004.

Abstract:

Multi-objective optimization involves finding one or more optimal solutions when there is more than one conflicting objective. This means that a solution that is better in one objective compromises or trades-off, other objectives. Trade Studies are conducted by flight projects to create mission concepts with different trade-off solutions for mass, cost, performance and risk.

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