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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorKreveld, M.J. van
dc.contributor.advisorBodlaender, H.L.
dc.contributor.authorConté, J.M.W. Le
dc.date.accessioned2017-05-22T17:52:09Z
dc.date.available2017-05-22T17:52:09Z
dc.date.issued2017
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/25874
dc.description.abstractThe Quality Arc Orienteering Problem (Quality-AOP) is to find a path in a directed graph subject to a travel cost budget and in which the quality of the path is optimized. Due to our restrictive problem definition and the use of a strong quality measure in the objective function, artifacts such as subtours and detours do not occur in Quality-AOP where they did occur in the Arc Orienteering Problem. The budget interval allows us to find higher quality routes close to the desired costs. We give a polynomial time heuristic for this problem, which is NP-hard. Our algorithm is based on a Greedy Randomized Adaptive Search Procedure. Our experiments show the reduction of artifacts and also improvements on the route’s quality up to 10%.
dc.description.sponsorshipUtrecht University
dc.format.extent10916303
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.titleThe Quality Arc Orienteering Problem for Multi-Objective Scenic Route Planning
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordsArc Orienteering Problem, route planning, scenic path, multi-objective optimization, routing, Greedy Randomized Adaptive Search Procedure, Orienteering Problem, OpenStreetMap, curviness, road network
dc.subject.courseuuComputing Science


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