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dc.contributor.authorIbarbia, Izaskun
dc.contributor.authorMendiburu, Alexander
dc.contributor.authorSantos, Maria
dc.contributor.authorLozano, Jose A.
dc.date.accessioned2019-05-23T13:11:40Z-
dc.date.available2019-05-23T13:11:40Z-
dc.date.issued2012
dc.identifierISI:000303479800014
dc.identifier.citationAPPLIED INTELLIGENCE, 2012, 36, 721-734
dc.identifier.issn0924-669X
dc.identifier.urihttp://dspace.azti.es/handle/24689/607-
dc.description.abstractIn this paper we deal with a real-world routing problem that consists of finding the best route for an oceanographic campaign. The planning task involves setting up the initial route and managing the route variations along the way. Bearing in mind the idea of building an experimental tool to support the decision making process of the expert when planning the route, two different approaches to solve the problem were developed. First of all, we assumed that the problem was well characterized by the initial description of the expert, using as fitness function the time employed in the route and applying classical local search optimization heuristics. The difficulty of a precise constraint definition and the infeasibility of mathematically describing all the evaluation criteria of the expert led us towards interactive optimization as a way to introduce the knowledge of the expert. According to the results, this last approach was able to provide satisfactory solutions.
dc.language.isoeng
dc.publisherSPRINGER
dc.subjectOceanographic campaign
dc.subjectReal-world routing problem
dc.subjectLocal search heuristics
dc.subjectInteractive optimization
dc.subjectTRAVELING SALESMAN PROBLEM
dc.subjectEVOLUTIONARY COMPUTATION
dc.subjectTIME WINDOWS
dc.subjectDISTRIBUTION ALGORITHMS
dc.subjectDESIGN ENVIRONMENT
dc.subjectSEARCH
dc.titleAn interactive optimization approach to a real-world oceanographic campaign planning problem
dc.typeArticle
dc.identifier.journalAPPLIED INTELLIGENCE
dc.format.page721-734
dc.format.volume36
dc.contributor.funderBasque Government [IT-242-07]
dc.contributor.funderSpanish Ministry of Science and Innovation [TIN2008-06815-C02-01, TIN2010-14931, CSD2007-00018]
dc.contributor.funderCOMBIOMED network in computational biomedicine (Carlos III Health Institute)
dc.identifier.doi10.1007/s10489-011-0291-2
Aparece en las tipos de publicación: Artículos científicos



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