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Two-Stage Optimization Methods to Solve the DNA-Sample Allocation Problem

Author

Listed:
  • Diego Noceda-Davila

    (MODES Research Group, Department of Mathematics, Faculty of Computer Science and CITIC Research Centre, University of A Coruña, 15071 A Coruña, Spain
    These authors contributed equally to this work.)

  • Silvia Lorenzo-Freire

    (MODES Research Group, Department of Mathematics, Faculty of Computer Science and CITIC Research Centre, University of A Coruña, 15071 A Coruña, Spain
    These authors contributed equally to this work.)

  • Luisa Carpente

    (MODES Research Group, Department of Mathematics, Faculty of Computer Science and CITIC Research Centre, University of A Coruña, 15071 A Coruña, Spain
    These authors contributed equally to this work.)

Abstract

This paper deals with new methods capable of solving the optimization problem concerning the allocation of DNA samples in plates in order to carry out the DNA sequencing with the Sanger technique. These methods make it possible to work with independent subproblems of lower complexity, obtaining solutions of good quality while maintaining a competitive time cost. They are compared with the ones introduced in the literature, obtaining interesting results. All the comparisons among the methods in the literature and the laboratory results have been made with real data.

Suggested Citation

  • Diego Noceda-Davila & Silvia Lorenzo-Freire & Luisa Carpente, 2022. "Two-Stage Optimization Methods to Solve the DNA-Sample Allocation Problem," Mathematics, MDPI, vol. 10(22), pages 1-31, November.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:22:p:4359-:d:978225
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    References listed on IDEAS

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    4. Delorme, Maxence & Iori, Manuel & Martello, Silvano, 2016. "Bin packing and cutting stock problems: Mathematical models and exact algorithms," European Journal of Operational Research, Elsevier, vol. 255(1), pages 1-20.
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