Search results for "navigointi"

showing 4 items of 4 documents

NAUTILUS Navigator : free search interactive multiobjective optimization without trading-off

2019

We propose a novel combination of an interactive multiobjective navigation method and a trade-off free way of asking and presenting preference information. The NAUTILUS Navigator is a method that enables the decision maker (DM) to navigate in real time from an inferior solution to the most preferred solution by gaining in all objectives simultaneously as (s)he approaches the Pareto optimal front. This means that, while the DM reaches her/his most preferred solution, (s)he avoids anchoring around the starting solution and, at the same time, sees how the ranges of the reachable objective function values shrink without trading-off. The progress of the motion towards the Pareto optimal front is…

Mathematical optimizationControl and Optimization0211 other engineering and technologiesAnchoringpäätöksentukijärjestelmät02 engineering and technologyManagement Science and Operations ResearchMulti-objective optimizationMotion (physics)Set (abstract data type)käyttöliittymätPreference (economics)MathematicsGraphical user interface021103 operations researchbusiness.industryApplied Mathematicsgraphical user interfaceFunction (mathematics)interactive methodsDecision makermonitavoiteoptimointiComputer Science Applicationsnavigointiinteraktiivisuusmulticriteria decision makingbusinesstrade-off free
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Murupolku-elementti osana Web-navigoinnin käytettävyyttä

2009

navigointikäytettävyysWWWnavigointielementitmurupolku
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Browsing and navigating web applications with mobile devices

2004

usabilitynavigointimatkaviestinpalvelutselaimetmobiililaitteetkäytettävyysmobile web applicationmobile deviceWWWnavigationmobile browser
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Interactive Nonconvex Pareto Navigator for Multiobjective Optimization

2019

Abstract We introduce a new interactive multiobjective optimization method operating in the objective space called Nonconvex Pareto Navigator . It extends the Pareto Navigator method for nonconvex problems. An approximation of the Pareto optimal front in the objective space is first generated with the PAINT method using a relatively small set of Pareto optimal outcomes that is assumed to be given or computed prior to the interaction with the decision maker. The decision maker can then navigate on the approximation and direct the search for interesting regions in the objective space. In this way, the decision maker can conveniently learn about the interdependencies between the conflicting ob…

Mathematical optimizationInformation Systems and Managementinteractive multiobjective optimizationGeneral Computer ScienceComputer science0211 other engineering and technologies02 engineering and technologyManagement Science and Operations ResearchSpace (commercial competition)Multi-objective optimizationIndustrial and Manufacturing Engineering0502 economics and businessnonconvex problemsnavigationta113050210 logistics & transportation021103 operations researchpareto-tehokkuuspareto optimality05 social sciencesPareto principlemonitavoiteoptimointinavigointiModeling and Simulationmultiple objective programmingEuropean Journal of Operational Research
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