A stopping criterion based on Kalman estimation techniques with several progress indicators

doi:10.1145/1569901.1569983

A stopping criterion based on Kalman estimation techniques with several progress indicators

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Authors:	José L. Guerrero	Universidad Carlos III de Madrid, Colmenarejo, Spain
	Jesus Garcia	Universidad Carlos III de Madrid, Colmenarejo, Spain
	Luis Marti	Universidad Carlos III de Madrid, Colmenarejo, Spain
	José Manuel Molina	Universidad Carlos III de Madrid, Colmenarejo, Spain
	Antonio Berlanga	Universidad Carlos III de Madrid, Colmenarejo, Spain

	2009 Article
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	GECCO '09 Proceedings of the 11th Annual conference on Genetic and evolutionary computation
	ACM New York, NY, USA ©2009 table of contents ISBN: 978-1-60558-325-9 doi>10.1145/1569901.1569983

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Tags: algorithms experimentation fusion architectures kalman filtering miscellaneous moeas moop performance problem solving, control methods, and search stopping criterion

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