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Towards a Self-Configuring Optimization System for Spacecraft Design

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dc.contributor.author Chien, Steve en_US
dc.date.accessioned 2004-09-26
dc.date.available 2004-09-26
dc.date.issued 1997-07-14 en_US
dc.identifier.citation Tokyo en_US
dc.identifier.clearanceno 97-0756 en_US
dc.identifier.uri http://hdl.handle.net/2014/22282
dc.description.abstract In this paper, we propose the use of a set of generic, metaheuristic optimization algorithms, which is configured for a particular optimization problem by an adaptive problem solver based on artificial intelligence and machine learning techniques. We describe work in progress on these principles. en_US
dc.format.extent 269713 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.subject.other Metaheuristic Optimization Algorithm OASIS en_US
dc.title Towards a Self-Configuring Optimization System for Spacecraft Design en_US


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