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A Hybrid Discrete Artificial Bee Colony Algorithm for the Multicast Routing Problem

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Applications of Evolutionary Computation (EvoApplications 2016)

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

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Abstract

In this paper, a new algorithm is proposed for the solution of the Multicast Routing Problem. The algorithm is based on the Artificial Bee Colony approach hybridized with Variable Neighborhood Search. The quality of the algorithm is evaluated with experiments conducted on suitably modified benchmark instances of the Euclidean Traveling Salesman Problem from the TSP library. The results of the algorithm are compared to results obtained by several versions of the Particle Swarm Optimization algorithm. The comparisons indicated the effectiveness of the new approach.

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Authors and Affiliations

  1. School of Production Engineering and Management, Technical University of Crete, Chania, Greece

    Yannis Marinakis & Magdalene Marinaki

  2. Department of Civil Engineering, Aristotle University of Thessalonike, 54124, Thessalonike, Greece

    Athanasios Migdalas

  3. Industrial Logistics, Department of Business Administration, Technology and Social Sciences, Luleå Technical University, 97187, Luleå, Sweden

    Athanasios Migdalas

Authors
  1. Yannis Marinakis
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  2. Magdalene Marinaki
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  3. Athanasios Migdalas
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Corresponding author

Correspondence to Yannis Marinakis .

Editor information

Editors and Affiliations

  1. Politecnico di Torino, Turin, Italy

    Giovanni Squillero

  2. Aalborg University, Copenhagen, Denmark

    Paolo Burelli

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Marinakis, Y., Marinaki, M., Migdalas, A. (2016). A Hybrid Discrete Artificial Bee Colony Algorithm for the Multicast Routing Problem. 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_14

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  • DOI: https://doi.org/10.1007/978-3-319-31204-0_14

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