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On the Comparison of Parallel Island-Based Models for the Multiobjectivised Antenna Positioning Problem

  • Eduardo Segredo
  • Carlos Segura
  • Coromoto León
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6881)

Abstract

Antenna Positioning Problem (app) is an NP-Complete Optimisation Problem which arises in the telecommunication field. Its aim is to identify the infrastructures required to establish a wireless network. A well-known mono-objective version of the problem has been used. The best-known approach to tackle such a version is a problem-dependent strategy. However, other methods which minimise the usage of problem-dependent information have also been defined. Specifically, multiobjectivisation has provided solutions of similar quality than problem-dependent strategies. However, it requires a larger amount of time to converge to high-quality solutions. The main aim of the present work has been the decrease of the time invested in solving app with multiobjectivisation. For this purpose, a parallel island-based model has been applied to two app instances. In order to check the robustness of the approach, several migration stages have been tested. In addition, a scalability analysis using the best-behaved migration stage has been performed. Computational results have demonstrated the validity of the proposal.

Keywords

Parallel Model Speedup Factor Success Ratio High Quality Solution Migration Scheme 
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-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Eduardo Segredo
    • 1
  • Carlos Segura
    • 1
  • Coromoto León
    • 1
  1. 1.Dpto. Estadística, I.O.y ComputaciónUniversidad de La LagunaLa LagunaSpain

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