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.
Towards a Self-Configuring Optimization System for Spacecraft Design
1997-07-14
Preprint
No indication
English
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