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Jagiellonian University Repository
Part of book or chapter of book . 2009
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https://doi.org/10.1007/978-3-...
Part of book or chapter of book . 2009 . Peer-reviewed
License: Springer TDM
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https://doi.org/10.1007/978-3-...
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Genetic Algorithm for Synchronization

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Article 01 Jan 2009Publisher:Springer Berlin Heidelberg
Authors: Roman, Adam;

doi: 10.1007/978-3-642-00982-2_58

Genetic Algorithm for Synchronization

Abstract

We present a novel approach to the synchronization problem. It is a well-known fact that a problem of finding minimal (or: the shortest) synchronizing word (MSW) for a given synchronizing automaton is NP-complete. In this paper we present the genetic algorithm which tries, for a given automaton, to find possibly short word that synchronizes it. We use a modified version of a classical simple genetic algorithm (SGA).

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    		 13
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citations
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!
13
Average
Average
Average
Green