Affiliation:
1. FB Computerwissenschaften, Universität Salzburg, Salzburg, Austria
Abstract
Our work on the Computational Geometry Challenge 2019 on area-optimal polygonizations is based on two key components: (1) sampling the search space to obtain initial polygonizations and (2) optimizing such a polygonizations. Among other heuristics for obtaining polygonizations for a given set
P
of input points, we discuss how to combine 2-opt moves with a line sweep to convert an initial random (non-simple) polygon whose vertices are given by
P
into a polygonization
P
. The actual optimization relies on a constrained triangulation of the interior and exterior of a polygonization to speed-up local modifications of the polygonization to increase or decrease its area.
Publisher
Association for Computing Machinery (ACM)
Subject
Theoretical Computer Science
Reference16 articles.
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4. Area-optimal simple polygonalizations: The CG challenge;Demaine Erik D.;ACM J. Experimental Algorithmics,2021
Cited by
2 articles.
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