A framework of quantum-inspired multi-objective evolutionary algorithms and its convergence properties

dc.contributor.author	Li, Zhiyong	de
dc.contributor.author	Rudolph, Günter	de
dc.date.accessioned	2009-05-12T16:01:17Z
dc.date.available	2009-05-12T16:01:17Z
dc.date.issued	2007-04	de
dc.description.abstract	In this paper, a general framework of quantum-inspired multiobjective evolutionary algorithms is proposed based on the basic principles of quantum computing and general schemes of multi-objective evolutionary algorithms. One of the sufficient convergence conditions to Pareto optimal set is presented and it is proved under partially order set theory. Moreover, two algorithms are given as examples meeting this convergence condition, in which two improved Q-gates are used. Their convergence properties are discussed. Additionally, one counterexample is also given.	en
dc.identifier.uri	http://hdl.handle.net/2003/26135
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-8713
dc.language.iso	en	de
dc.relation.ispartofseries	Reihe CI; 228-07	de
dc.subject	multi-objective evolutionary algorithms	en
dc.subject	Pareto optimal set	en
dc.subject	quantum computing	en
dc.subject	stochastic convergence	en
dc.subject.ddc	004	de
dc.title	A framework of quantum-inspired multi-objective evolutionary algorithms and its convergence properties	en
dc.type	Text	de
dc.type.publicationtype	report	de
dcterms.accessRights	open access

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