Computational Intelligence in Radio Astronomy: Using Computational Intelligence Techniques to Tune Geodesy Models

Authors:
Daniel Angus;Adam Deller
Affiliations:
The University of Queensland, Queensland Brain Institute,;Centre for Astrophysics and Supercomputing, Swinburne University of Technology,
Venue:
SEAL '08 Proceedings of the 7th International Conference on Simulated Evolution and Learning
Year:
2008

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Abstract

In this paper a number of popular Computational Intelligence (CI) algorithms are used to tune Geodesy models, a radio astronomy problem. Several single and multiple objective variations of the Geodesy problem are examined with good results obtained using state-of-the-art CI algorithms. These novel applications are used to develop insights into methods for applying CI algorithms to unknown problem domains and to provide interesting solutions to the Geodesy models used.