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A first approximation algorithm for the Bin Packing Problem with Setups

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.

preprint2025arXivOpen access
Roberto BaldacciFabio CiccarelliStefano ConiglioValerio DoseFabio Furini
math.OC
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Open access5 authors1 topic
Imported metadata coverageMissing code, dataset, citation and institution fields are tracked without dominating the paper.Details
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Roberto BaldacciFabio CiccarelliStefano ConiglioValerio DoseFabio Furini

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