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<dc:title xml:lang="pl"><![CDATA[The island model as a Markov dynamic system]]></dc:title>
<dc:creator><![CDATA[Schaefer, Robert]]></dc:creator>
<dc:creator><![CDATA[Byrski, Aleksander]]></dc:creator>
<dc:creator><![CDATA[Smołka, Maciej]]></dc:creator>
<dc:subject xml:lang="pl"><![CDATA[genetic algorithms]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[asymptotic analysis]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[global optimization]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[parallel evolutionary algorithms]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[Markov chain modeling]]></dc:subject>
<dc:description xml:lang="pl"><![CDATA[Parallel multi-deme genetic algorithms are especially advantageous because they allow reducing the time of computations and can perform a much broader search than single-population ones. However, their formal analysis does not seem to have been studied exhaustively enough. In this paper we propose a mathematical framework describing a wide class of island-like strategies as a stationary Markov chain.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[Our approach uses extensively the modeling principles introduced by Vose, Rudolph and their collaborators. An original and crucial feature of the framework we propose is the mechanism of inter-deme agent operation synchronization. It is important from both a practical and a theoretical point of view.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[We show that under a mild assumption the resulting Markov chain is ergodic and the sequence of the related sampling measures converges to some invariant measure. The asymptotic guarantee of success is also obtained as a simple issue of ergodicity. Moreover, if the cardinality of each island population grows to infinity, then the sequence of the limit invariant measures contains a weakly convergent subsequence.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[The formal description of the island model obtained for the case of solving a single-objective problem can also be extended to the multi-objective case.]]></dc:description>
<dc:publisher><![CDATA[Zielona Góra: Uniwersytet Zielonogórski]]></dc:publisher>
<dc:contributor><![CDATA[Cordón, Oskar - ed.]]></dc:contributor>
<dc:contributor><![CDATA[Kazienko, Przemysław - ed.]]></dc:contributor>
<dc:date><![CDATA[2012]]></dc:date>
<dc:type xml:lang="pl"><![CDATA[artykuł]]></dc:type>
<dc:identifier><![CDATA[http://www.zbc.uz.zgora.pl/repozytorium/Content/59006/AMCS_2012_22_4_15.pdf]]></dc:identifier>
<dc:identifier><![CDATA[https://zbc.uz.zgora.pl/repozytorium/dlibra/publication/65822/edition/59006/content]]></dc:identifier>
<dc:identifier><![CDATA[oai:zbc.uz.zgora.pl:59006]]></dc:identifier>
<dc:source xml:lang="pl"><![CDATA[AMCS, Volume 22, Number 4 (2012)]]></dc:source>
<dc:source xml:lang="pl"><![CDATA[https://www.amcs.uz.zgora.pl/?action=paper&paper=663]]></dc:source>
<dc:language><![CDATA[eng]]></dc:language>
<dc:relation><![CDATA[oai:zbc.uz.zgora.pl:publication:65822]]></dc:relation>
<dc:rights xml:lang="pl"><![CDATA[Biblioteka Uniwersytetu Zielonogórskiego]]></dc:rights>
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