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Automating the process of optimization in spacecraft design

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5 Author(s)
Fukunaga, A.S. ; Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA ; Chien, S. ; Mutz, D. ; Sherwood, R.L.
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Spacecraft design optimization is a difficult problem, due to the complexity of optimization cost surfaces and the human expertise in optimization that is necessary in order to achieve good results. In this paper, we propose the use of a set of generic, metaheuristic optimization algorithms (e.g., genetic algorithms, simulated annealing), 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 OASIS, a system for adaptive problem solving based on these principles

Published in:

Aerospace Conference, 1997. Proceedings., IEEE  (Volume:4 )

Date of Conference:

1-8 Feb 1997

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