2006
DOI: 10.1287/ijoc.1040.0124
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Exact Algorithms for a Loading Problem with Bounded Clique Width

Abstract: I n this paper we discuss a special paiiet-loading probiem, which we encountered at a manufacturing company.In graph-theoreticai terms, the probiem is equivalent to partitioning a permutation graph into bounded-size cliques. We formulate the problem as an integer program, and present two exact algorithms for solving it. The Erst algorithm is a branch-and-price algorithrti based on the integer-programming formulation; the second one is an algorithm based on the concept of bounded clique width. The latter algori… Show more

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Cited by 10 publications
(7 citation statements)
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“…We use 3 different data sets for the experiments. The first data set contains 50 real-world instances provided to us by Bruynzeel Storage Systems, the second data set contains 50 randomly generated instances, and the third data set contains 50 randomly generated instances that have small clique-width (see Moonen and Spieksma (2005)). The problem instances for all three data sets contain between 20 and 200 elements.…”
Section: Computational Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…We use 3 different data sets for the experiments. The first data set contains 50 real-world instances provided to us by Bruynzeel Storage Systems, the second data set contains 50 randomly generated instances, and the third data set contains 50 randomly generated instances that have small clique-width (see Moonen and Spieksma (2005)). The problem instances for all three data sets contain between 20 and 200 elements.…”
Section: Computational Resultsmentioning
confidence: 99%
“…Another application of MWPB is described in Moonen and Spieksma (2005). Given are a number of rectangular shaped boxes, each with a given length i and width w i .…”
Section: Applicationsmentioning
confidence: 99%
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“…Courcelle and Engelfriet mention in [45, p. 504] that MSO model-checking for decomposable graphs (e.g., [36,48]) has been cited in different fields of applied computer science, such as, e.g., computational biology [130], computational linguistics [111], database querying [9], logistics [139], telecommunications [136], quantum computing [178], or the aforementioned [174] on register allocation for compilers, to name a few. It is therefore of great interested to make Courcelle's Theorem useful in practice.…”
Section: Courcelle's Theorem In Practicementioning
confidence: 99%
“…Also, the randomly generated instances with small clique-width can be solved efficiently by the enumeration algorithm (95% of these instances are solved in less than 1 s), but the random instances cannot be solved efficiently, due to the large number of different lengths in the input. For more details we refer to Moonen and Spieksma (2006).…”
mentioning
confidence: 99%