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An Evolutionary Method for General Surface-Surface Intersection Problems

DC Field Value Language
dc.contributor.authorcho, N. W.-
dc.contributor.authorKim, N. K.-
dc.contributor.authorKim, Y.-
dc.contributor.authorKang, Suk-Ho-
dc.date.accessioned2009-08-24T07:09:33Z-
dc.date.available2009-08-24T07:09:33Z-
dc.date.issued1997-12-
dc.identifier.citationComputers & Industrial Engineering 33, 579-576en
dc.identifier.issn0360-8352-
dc.identifier.urihttps://hdl.handle.net/10371/7590-
dc.description.abstractA new approach to surface-surface intersection problems is proposed. Surface-surface intersection
forms a fundamental function in computational geometry and geometric modeling. A geometric modeler
needs to be equipped with a robust and accurate SSI algorithm to deal with a wide range of complex
models. Although many methods have been proposed, it is generally known that computation of surface
intersections is not an easy task in a computer environment. A new genetic algorithm, called Surface
Intersection with Genetic Algorithm (SIGA), is developed. Several steps of an existing genetic algorithm
are modified so that the new algorithm can be well suited to the Intersection problems. A main advantage
of SIGA is that it guarantees probabilistically finding all intersection curves.
en
dc.language.isoen-
dc.publisherElsevieren
dc.subjectGenetic algorithmen
dc.subjectSurface-surface intersection problemsen
dc.subjectSurface intersection algorithmsen
dc.titleAn Evolutionary Method for General Surface-Surface Intersection Problemsen
dc.typeArticleen
dc.contributor.AlternativeAuthor강석호-
dc.identifier.doi10.1016/S0360-8352(97)00196-4-
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