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Main Authors: Baldacci, Roberto, Ciccarelli, Fabio, Coniglio, Stefano, Dose, Valerio, Furini, Fabio
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2512.24785
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author Baldacci, Roberto
Ciccarelli, Fabio
Coniglio, Stefano
Dose, Valerio
Furini, Fabio
author_facet Baldacci, Roberto
Ciccarelli, Fabio
Coniglio, Stefano
Dose, Valerio
Furini, Fabio
contents We study constant-factor approximation algorithms for the Bin Packing Problem with Setups (BPPS). First, we show that adaptations of classical BPP heuristics can have arbitrarily poor worst-case performance on BPPS instances. Then, we propose a two-phase heuristic for the BPPS that applies an α-approximation algorithm for the BPP to the items of each class and then performs a merging phase on the open bins. We prove that this heuristic is a 2 α-approximation algorithm for the BPPS.
format Preprint
id arxiv_https___arxiv_org_abs_2512_24785
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A first approximation algorithm for the Bin Packing Problem with Setups
Baldacci, Roberto
Ciccarelli, Fabio
Coniglio, Stefano
Dose, Valerio
Furini, Fabio
Optimization and Control
We study constant-factor approximation algorithms for the Bin Packing Problem with Setups (BPPS). First, we show that adaptations of classical BPP heuristics can have arbitrarily poor worst-case performance on BPPS instances. Then, we propose a two-phase heuristic for the BPPS that applies an α-approximation algorithm for the BPP to the items of each class and then performs a merging phase on the open bins. We prove that this heuristic is a 2 α-approximation algorithm for the BPPS.
title A first approximation algorithm for the Bin Packing Problem with Setups
topic Optimization and Control
url https://arxiv.org/abs/2512.24785