Packing squares independently

Given a set of squares and a strip with bounded width and infinite height, we consider a square strip packaging problem, which we call the square independent packing problem (SIPP), to minimize the strip height so that all the squares are packed into independent cells separated by horizontal and ver...

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Veröffentlicht in:Theoretical computer science Jg. 1024; S. 114910
Hauptverfasser: Wu, Wei, Numaguchi, Hiroki, Halman, Nir, Hu, Yannan, Yagiura, Mutsunori
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier B.V 12.01.2025
Schlagworte:
Complexity
Dynamic programming
Fully polynomial-time approximation scheme
Strip packing
52C15
Fully polynomial-time approximation scheme
Dynamic programming
05B40
Strip packing
Complexity
ISSN:0304-3975
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Zusammenfassung:Given a set of squares and a strip with bounded width and infinite height, we consider a square strip packaging problem, which we call the square independent packing problem (SIPP), to minimize the strip height so that all the squares are packed into independent cells separated by horizontal and vertical partitions. For the SIPP, we first investigate efficient solution representations and propose a compact representation that reduces the search space from Ω(n!) to O(2n), with n the number of given squares, while guaranteeing that there exists a solution representation that corresponds to an optimal solution. Based on the solution representation, we show that the problem is NP-hard. To solve the SIPP, we propose a dynamic programming method that can be extended to a fully polynomial-time approximation scheme (FPTAS). We also propose three mathematical programming formulations based on different solution representations and confirm their performance through computational experiments with a mathematical programming solver. Finally, we discuss several extensions that are relevant to practical applications.
ISSN:0304-3975
DOI:10.1016/j.tcs.2024.114910