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A hybrid genetic algorithm for resolving closely spaced objectsA hybrid genetic algorithm is described for performing the difficult optimization task of resolving closely spaced objects appearing in space based and ground based surveillance data. This application of genetic algorithms is unusual in that it uses a powerful domain-specific operation as a genetic operator. Results of applying the algorithm to real data from telescopic observations of a star field are presented.
Document ID
19950020966
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Abbott, R. J. (California State Univ. Los Angeles, CA., United States)
Lillo, W. E. (Aerospace Corp. Los Angeles, CA, United States)
Schulenburg, N. (Aerospace Corp. Los Angeles, CA, United States)
Date Acquired
September 6, 2013
Publication Date
May 1, 1995
Publication Information
Publication: NASA. Goddard Space Flight Center, The 1995 Goddard Conference on Space Applications of Artificial Intelligence and Emerging Information Technologies
Subject Category
Cybernetics
Accession Number
95N27387
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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