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European Conference on the Applications of Evolutionary Computation

EvoApplications 2016: Applications of Evolutionary Computation pp 283–298Cite as

An (MI)LP-Based Primal Heuristic for 3-Architecture Connected Facility Location in Urban Access Network Design

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9597))

Abstract

We investigate the 3-architecture Connected Facility Location Problem arising in the design of urban telecommunication access networks integrating wired and wireless technologies. We propose an original optimization model for the problem that includes additional variables and constraints to take into account wireless signal coverage represented through signal-to-interference ratios. Since the problem can prove very challenging even for modern state-of-the art optimization solvers, we propose to solve it by an original primal heuristic that combines a probabilistic fixing procedure, guided by peculiar Linear Programming relaxations, with an exact MIP heuristic, based on a very large neighborhood search. Computational experiments on a set of realistic instances show that our heuristic can find solutions associated with much lower optimality gaps than a state-of-the-art solver.

The work of Fabio D’Andreagiovanni and Jonad Pulaj was partially supported by the Einstein Center for Mathematics Berlin (ECMath) through Project MI4 (ROUAN) and by the German Federal Ministry of Education and Research (BMBF) through Project VINO (Grant 05M13ZAC) and Project ROBUKOM (Grant 05M10ZAA) [1].

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Author information

Authors and Affiliations

  1. Department of Mathematical Optimization, Zuse Institute Berlin (ZIB), Takustr. 7, 14195, Berlin, Germany

    Fabio D’Andreagiovanni, Fabian Mett & Jonad Pulaj

  2. Institute for System Analysis and Computer Science, National Research Council of Italy (IASI-CNR), via Dei Taurini 19, 00185, Roma, Italy

    Fabio D’Andreagiovanni

Authors
  1. Fabio D’Andreagiovanni
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  2. Fabian Mett
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  3. Jonad Pulaj
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Corresponding author

Correspondence to Fabio D’Andreagiovanni .

Editor information

Editors and Affiliations

  1. Politecnico di Torino, Turin, Italy

    Giovanni Squillero

  2. Aalborg University, Copenhagen, Denmark

    Paolo Burelli

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D’Andreagiovanni, F., Mett, F., Pulaj, J. (2016). An (MI)LP-Based Primal Heuristic for 3-Architecture Connected Facility Location in Urban Access Network Design. In: Squillero, G., Burelli, P. (eds) Applications of Evolutionary Computation. EvoApplications 2016. Lecture Notes in Computer Science(), vol 9597. Springer, Cham. https://doi.org/10.1007/978-3-319-31204-0_19

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  • DOI: https://doi.org/10.1007/978-3-319-31204-0_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-31203-3

  • Online ISBN: 978-3-319-31204-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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