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Theoretical Computer Science
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Theoretical Computer Science
Article . 2015 . Peer-reviewed
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Article . 2013 . Peer-reviewed
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Population size matters: Rigorous runtime results for maximizing the hypervolume indicator

rigorous runtime results for maximizing the hypervolume indicator
descriptionPublicationkeyboard_double_arrow_right Article , Conference object 06 Jul 2013 Australia English Publisher:Elsevier BVJournal:Theoretical Computer Science, volume 561, pages 24-36 (issn: 0304-3975, Copyright policy )
Authors: Anh Quang Nguyen; Andrew M. Sutton; Frank Neumann 0001;

doi: 10.1016/j.tcs.2014.06.023 , 10.1145/2463372.2463564

handle: 2440/108878

Population size matters: Rigorous runtime results for maximizing the hypervolume indicator

Abstract

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Country
Australia
Related Organizations
Keywords

Genetic programming, Approximation methods and heuristics in mathematical programming, Runtime time analysis, runtime time analysis, Evolutionary multi-objective optimization, evolutionary multi-objective optimization, Hypervolume indicator, Theory, genetic programming, Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.), theory, hypervolume indicator

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 23
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
23
Top 10%
Top 10%
Average
hybrid