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Exact and heuristic algorithms for the maximum weighted submatrix coverage problem

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  • Sinnl, Markus

Abstract

The maximum weighted submatrix coverage problem is a recently introduced problem with applications in data mining. It is concerned with selecting K submatrices of a given numerical matrix such that the sum of the matrix-entries, which occur in at least one of the selected submatrices, is maximized. In the paper introducing the problem, a problem-specific constraint programming approach was developed and embedded in a large neighborhood-search to obtain a heuristic. A compact integer linear programming formulation was also presented, but deemed inefficient due to its size.

Suggested Citation

  • Sinnl, Markus, 2022. "Exact and heuristic algorithms for the maximum weighted submatrix coverage problem," European Journal of Operational Research, Elsevier, vol. 298(3), pages 821-833.
    • Handle: RePEc:eee:ejores:v:298:y:2022:i:3:p:821-833
    DOI: 10.1016/j.ejor.2021.07.035
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    1. Thu Hien DAO & Frédéric DOCQUIER & Mathilde MAUREL & Pierre SCHAUS, 2017. "Global Migration in the 20th and 21st Centuries: the Unstoppable Force of Demography," Working Paper 96d89f28-0e80-4703-9b33-6, Agence française de développement.
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