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A Matheuristic Approach for the Total Completion Time Two-Machines Permutation Flow Shop Problem

  • Conference paper
Evolutionary Computation in Combinatorial Optimization (EvoCOP 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6622))

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Abstract

This paper deals with the total completion time 2-machines flow shop problem. We present a so-called matheuristic post processing procedure that improves the objective function value with respect to the solutions provided by state of the art procedures. The proposed procedure is based on the positional completion times integer programming formulation of the problem with O(n 2) variables and O(n) constraints.

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Author information

Authors and Affiliations

  1. D.A.I., Politecnico di Torino, Italy

    Federico Della Croce, Andrea Grosso & Fabio Salassa

  2. Dip. Informatica, Università di Torino, Italy

    Federico Della Croce, Andrea Grosso & Fabio Salassa

Authors
  1. Federico Della Croce
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  2. Andrea Grosso
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  3. Fabio Salassa
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Editor information

Editors and Affiliations

  1. Department of Business Administration and Computer Science, University of Applied Sciences and Arts, Ricklinger Stadtweg 120, 30459, Hannover, Germany

    Peter Merz

  2. Faculty of Sciences, University of Angers, 2, Boulevard Lavoisier, Cedex 01, 49045, Angers, France

    Jin-Kao Hao

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© 2011 Springer-Verlag Berlin Heidelberg

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Della Croce, F., Grosso, A., Salassa, F. (2011). A Matheuristic Approach for the Total Completion Time Two-Machines Permutation Flow Shop Problem. In: Merz, P., Hao, JK. (eds) Evolutionary Computation in Combinatorial Optimization. EvoCOP 2011. Lecture Notes in Computer Science, vol 6622. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20364-0_4

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  • DOI: https://doi.org/10.1007/978-3-642-20364-0_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20363-3

  • Online ISBN: 978-3-642-20364-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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