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dc.contributor.authorHernando Rodríguez, Leticia ORCID
dc.contributor.authorMendiburu Alberro, Alexander
dc.contributor.authorLozano Alonso, José Antonio
dc.date.accessioned2024-02-11T10:07:30Z
dc.date.available2024-02-11T10:07:30Z
dc.date.issued2019-09-01
dc.identifier.citationEvolutionary Computation 27(3) : 435–466 (2019)es_ES
dc.identifier.issn1063-6560
dc.identifier.urihttp://hdl.handle.net/10810/66007
dc.description.abstract[EN]Solving combinatorial optimization problems efficiently requires the development of algorithms that consider the specific properties of the problems. In this sense, local search algorithms are designed over a neighborhood structure that partially accounts for these properties. Considering a neighborhood, the space is usually interpreted as a natural landscape, with valleys and mountains. Under this perception, it is commonly believed that, if maximizing, the solutions located in the slopes of the same mountain belong to the same attraction basin, with the peaks of the mountains being the local optima. Unfortunately, this is a widespread erroneous visualization of a combinatorial landscape. Thus, our aim is to clarify this aspect, providing a detailed analysis of, first, the existence of plateaus where the local optima are involved, and second, the properties that define the topology of the attraction basins, picturing a reliable visualization of the landscapes. Some of the features explored in this article have never been examined before. Hence, new findings about the structure of the attraction basins are shown. The study is focused on instances of permutation-based combinatorial optimization problems considering the 2-exchange and the insert neighborhoods. As a consequence of this work, we break away from the extended belief about the anatomy of attraction basins.es_ES
dc.description.sponsorshipThis work has been partially supported by the Research Groups 2013-2018 (IT-609-13) programs (Basque Government) and TIN2016-78365R (Spanish Ministry of Economy, Industry and Competitiveness). Jose A. Lozano is also supported by BERC 2014-2017 and Elkartek programs (Basque government) and Severo Ochoa Program SEV-2013-0323 (Spanish Ministry of Economy and Competitiveness).
dc.language.isoenges_ES
dc.publisherMIT Press
dc.relationinfo:eu-repo/grantAgreement/MINECO/TIN2016-78365R
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectpermutation-based combinatorial optimization problemses_ES
dc.subjectlocal optimaes_ES
dc.subjectattraction basinses_ES
dc.subjectlocal searches_ES
dc.subjectlandscape visualizationes_ES
dc.titleAnatomy of the Attraction Basins: breaking with the Intuitiones_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2018 Massachusetts Institute of Technology
dc.relation.publisherversionhttps://direct.mit.edu/evco/article/27/3/435/94968/
dc.identifier.doi/10.1162/evco_a_00227


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