SHERP

An Evolutionary Method for General Surface-Surface Intersection Problems

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Authors
cho, N. W.; Kim, N. K.; Kim, Y.; Kang, Suk-Ho
Issue Date
1997-12
Publisher
Elsevier
Citation
Computers & Industrial Engineering 33, 579-576
Keywords
Genetic algorithmSurface-surface intersection problemsSurface intersection algorithms
Abstract
A 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.
ISSN
0360-8352
Language
English
URI
http://hdl.handle.net/10371/7590
DOI
https://doi.org/10.1016/S0360-8352(97)00196-4
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College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Industrial Engineering (산업공학과)Journal Papers (저널논문_산업공학과)
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