Maximizing vector distances using differential evolution—Relation to data redundancy

Citation data:

AIP Conference Proceedings, ISSN: 1551-7616, Vol: 1648

Publication Year:
2015
Usage 197
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Downloads 40
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Repository URL:
http://hdl.handle.net/10563/1005215, http://publikace.k.utb.cz/handle/10563/1005215
DOI:
10.1063/1.4912774
Author(s):
Kolařík, Martin, Jašek, Roman, Komínková Oplatková, Zuzana
Publisher(s):
AIP Publishing, American Institute of Physics (AIP)
Tags:
Physics and Astronomy, differential evolution, vector distances, optimization, data redundancy
conference paper description
This paper studies how redundant data affect maximizing of weighted distances of vectors in a set of vectors. To maximize distances differential evolution is used, because the problem does not have analytical solution and is complex. This paper at first describes suppressing of redundant data mathematically and then it checks this theoretical result in two experiments practically. As a result it was found that both experiments are in correspondence with theory.

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