Maximum Polygon Packing: The CG:SHOP Challenge 2024

Fuente: arXiv
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Main Authors: Fekete, Sándor P., Keldenich, Phillip, Krupke, Dominik, Schirra, Stefan
Format: Preprint
Published: 2024
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author Fekete, Sándor P.
Keldenich, Phillip
Krupke, Dominik
Schirra, Stefan
author_facet Fekete, Sándor P.
Keldenich, Phillip
Krupke, Dominik
Schirra, Stefan
contents We give an overview of the 2024 Computational Geometry Challenge targeting the problem \textsc{Maximum Polygon Packing}: Given a convex region $P$ in the plane, and a collection of simple polygons $Q_1, \ldots, Q_n$, each $Q_i$ with a respective value $c_i$, find a subset $S \subseteq \{1, \ldots,n\}$ and a feasible packing within $P$ of the polygons $Q_i$ (without rotation) for $i \in S$, maximizing $\sum_{i \in S} c_i$. Geometric packing problems, such as this, present significant computational challenges and are of substantial practical importance.
format Preprint
id arxiv_https___arxiv_org_abs_2403_16203
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Maximum Polygon Packing: The CG:SHOP Challenge 2024
Fekete, Sándor P.
Keldenich, Phillip
Krupke, Dominik
Schirra, Stefan
Computational Geometry
Data Structures and Algorithms
F.2.2
We give an overview of the 2024 Computational Geometry Challenge targeting the problem \textsc{Maximum Polygon Packing}: Given a convex region $P$ in the plane, and a collection of simple polygons $Q_1, \ldots, Q_n$, each $Q_i$ with a respective value $c_i$, find a subset $S \subseteq \{1, \ldots,n\}$ and a feasible packing within $P$ of the polygons $Q_i$ (without rotation) for $i \in S$, maximizing $\sum_{i \in S} c_i$. Geometric packing problems, such as this, present significant computational challenges and are of substantial practical importance.
title Maximum Polygon Packing: The CG:SHOP Challenge 2024
topic Computational Geometry
Data Structures and Algorithms
F.2.2
url https://arxiv.org/abs/2403.16203