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A Particle Swarm Optimization Algorithm for the Multicast Routing Problem

  • Yannis Marinakis
  • Athanasios MigdalasEmail author
Conference paper
Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 104)

Abstract

In this paper, a new algorithm for the solution of the Multicast Routing Problem based on Particle Swarm Optimization algorithm is presented and analyzed. A review of the most important evolutionary optimization algorithms for the solution of this problem is also given. Three different versions of the proposed algorithm are given and their quality is evaluated with experiments conducted on suitably modified benchmark instances of the Euclidean Traveling Salesman Problem from the TSP library. The results indicated the efficiency of the proposed method.

Keywords

Particle Swarm Optimization Local Search Destination Node Particle Swarm Optimization Algorithm Steiner Tree 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Technical University of Crete, School of Production Engineering and ManagementDecision Support Systems LaboratoryChaniaGreece
  2. 2.Department of Civil EngineeringAristotle University of ThessalonikeThessalonikeGreece
  3. 3.Industrial LogisticsLuleå Technical UniversityLuleåSweden

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