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dc.contributor.authorBenedettini, Stefano
dc.contributor.authorBlum, Christian
dc.contributor.authorRoli, Andrea
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics
dc.date.accessioned2011-02-16T13:01:00Z
dc.date.available2011-02-16T13:01:00Z
dc.date.created2010-04
dc.date.issued2010-04
dc.identifier.citationBenedettini, S.; Blum, C.; Roli, A. A randomized iterated greedy algorithm for the founder sequence reconstruction problem. "Lecture notes in computer science", Abril 2010, núm. 6073, p. 37-51.
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/2117/11411
dc.description.abstractThe problem of inferring ancestral genetic information in terms of a set of founders of a given population arises in various biological contexts. In optimization terms, this problem can be formulated as a combinatorial string problem. The main problem of existing techniques, both exact and heuristic, is that their time complexity scales exponentially, which makes them impractical for solving large-scale instances. Basing our work on previous ideas outlined in [1], we developed a randomized iterated greedy algorithm that is able to provide good solutions in a short time span. The experimental evaluation shows that our algorithm is currently the best approximate technique, especially when large problem instances are concerned.
dc.format.extent15 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Informàtica::Informàtica teòrica::Algorísmica i teoria de la complexitat
dc.subject.lcshGreedy algorithm
dc.subject.lcshMathematical optimization
dc.subject.lcshProblem solving metaheuristic
dc.titleA randomized iterated greedy algorithm for the founder sequence reconstruction problem
dc.typeArticle
dc.subject.lemacOptimització matemàtica
dc.contributor.groupUniversitat Politècnica de Catalunya. ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals
dc.identifier.doi10.1007/978-3-642-13800-3_4
dc.description.peerreviewedPeer Reviewed
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac4999051
dc.description.versionPostprint (published version)
local.citation.authorBenedettini, S.; Blum, C.; Roli, A.
local.citation.publicationNameLecture notes in computer science
local.citation.number6073
local.citation.startingPage37
local.citation.endingPage51


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