Approximation Algorithms for Variable-Sized and Generalized Bin Covering
Matthias Hellwig, Alexander Souza

TL;DR
This paper introduces approximation algorithms for the Generalized Bin Covering problem, focusing on the less-studied unit supply model, and provides tight bounds and an AFPTAS for the infinite supply case.
Contribution
It presents the first study of the unit supply model for GBC, offering a 5-approximation algorithm and analyzing the Next Fit Decreasing algorithm for VSBC.
Findings
5-approximation algorithm for GBC with unit supply
Next Fit Decreasing is a 9/4-approximation for VSBC in the unit supply model
AFPTAS developed for VSBC in the infinite supply model
Abstract
We consider the Generalized Bin Covering (GBC) problem: We are given bin types, where each bin of type has profit and demand . Furthermore, there are items, where item has size . A bin of type is covered if the set of items assigned to it has total size at least the demand . In that case, the profit of is earned and the objective is to maximize the total profit. To the best of our knowledge, only the cases (Bin Covering) and (Variable-Sized Bin Covering (VSBC)) have been treated before. We study two models of bin supply: In the unit supply model, we have exactly one bin of each type, i.\,e., we have individual bins. By contrast, in the infinite supply model, we have arbitrarily many bins of each type. Clearly, the unit supply model is a generalization of the infinite supply model. To the best of our knowledge the…
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Taxonomy
TopicsOptimization and Packing Problems · Computational Geometry and Mesh Generation · Advanced Numerical Analysis Techniques
