Automating the Process of Optimization in Spacecraft Design

Authors:
A. S. Fukunaga;S. Chien;D. Mutz;R. L. Sherwood;A. D. Stechert
Affiliations:
-;-;-;-;-
Venue:
Automating the Process of Optimization in Spacecraft Design
Year:
1996

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Cited 1

A Multi-attribute Decision-Making Approach toward Space System Design Automation through a Fuzzy Logic-Based Analytic Hierarchical Process

IEA/AIE '02 Proceedings of the 15th international conference on Industrial and engineering applications of artificial intelligence and expert systems: developments in applied artificial intelligence

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Abstract

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 aptive problem solving based on these principles.