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Automated Tuning of a Column Generation Algorithm

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Learning and Intelligent Optimization (LION 2020)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12096))

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Abstract

This study concerns the use of automatic classification techniques for the purpose of self-tuning an exact optimization algorithm: in particular, the purpose is to automatically select the critical resource in a dynamic programming pricing algorithm within a branch-and-cut-and-price algorithm for the Electric Vehicle Routing Problem.

Partially funded by Regione Lombardia, grant agreement n. E97F17000000009, Project AD-COM.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Milan, Milan, Italy

    Dario Bezzi, Alberto Ceselli & Giovanni Righini

Authors
  1. Dario Bezzi
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  2. Alberto Ceselli
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  3. Giovanni Righini
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Corresponding author

Correspondence to Alberto Ceselli .

Editor information

Editors and Affiliations

  1. CARGO Lab., Wilfrid Laurier University, Waterloo, ON, Canada

    Ilias S. Kotsireas

  2. Center for Applied Optimization, University of Florida, Gainesville, FL, USA

    Panos M. Pardalos

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Bezzi, D., Ceselli, A., Righini, G. (2020). Automated Tuning of a Column Generation Algorithm. In: Kotsireas, I., Pardalos, P. (eds) Learning and Intelligent Optimization. LION 2020. Lecture Notes in Computer Science(), vol 12096. Springer, Cham. https://doi.org/10.1007/978-3-030-53552-0_21

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