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dc.contributor.authorSoto R.
dc.contributor.authorCrawford B.
dc.contributor.authorAlmonacid B.
dc.contributor.authorNiklander S.
dc.contributor.authorOlguín E.
dc.date.accessioned2020-09-02T22:28:39Z
dc.date.available2020-09-02T22:28:39Z
dc.date.issued2016
dc.identifier10.1007/978-3-319-40548-3_25
dc.identifier.citation617, , 150-154
dc.identifier.issn18650929
dc.identifier.urihttps://hdl.handle.net/20.500.12728/6286
dc.descriptionIn recent years, different optimization problems have been arose in the context of UI design. Initially those problems were solved by hand with no computational optimization support since the set of potential design combinations was limited. However, when the space of different possible designs increase, the use of optimization algorithms is mandatory. However, several UI design problems are quadratic, for which guaranteeing the global optimum is not possible in polynomial time. Then the use of classic exact methods may not be feasible. In this paper, we briefly present how metaheuristics can straightforwardly be used to model and solve interesting but complex quadratic problems from UI design. In particular, we employ Cuckoo Search, which is a modern optimization technique to solve a well-known problem concerned to keyboard layout optimization. © Springer International Publishing Switzerland 2016.
dc.language.isoen
dc.publisherSpringer Verlag
dc.sourceStephanidis C.
dc.subjectKeyboard optimization
dc.subjectMetaheuristics
dc.subjectUser interface design
dc.subjectAlgorithms
dc.subjectDesign
dc.subjectHeuristic algorithms
dc.subjectHuman computer interaction
dc.subjectPolynomial approximation
dc.subjectUser interfaces
dc.subjectComputational optimization
dc.subjectKeyboard layout
dc.subjectMeta heuristics
dc.subjectOptimization algorithms
dc.subjectOptimization problems
dc.subjectOptimization techniques
dc.subjectQuadratic problem
dc.subjectUser interface designs
dc.subjectOptimization
dc.titleOptimization for UI design via metaheuristics
dc.typeConference Paper


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