A comparative study of different biogeography based optimization migration models performance on antenna array thinning problems

Sotirios K. Goudos, Katherine Siakavara, John N. Sahalos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Biogeography-Based Optimization (BBO) which is inspired by the science of biogeography, is a stochastic population-based Evolutionary Algorithm (EA). The original BBO uses a linear migration model to describe how species migrate from one island to another. Other non-linear migration models have been proposed in the literature. A popular combinatorial optimization problem in antenna design is array thinning. The purpose of this paper to study the performance of these models on antenna array thinning problems. We apply BBO with four different migration models to five different array design cases. The problems dimensions range from 50 to 300. The results show that BBO with sinusoidal migration model generally performs better than the other models. However, these results are considered to be indicative and do not generally apply to all optimization problems in antenna design.

Original languageEnglish
Title of host publication2016 International Conference on High Performance Computing and Simulation, HPCS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages270-277
Number of pages8
ISBN (Electronic)9781509020881
DOIs
Publication statusPublished - 13 Sep 2016
Event14th International Conference on High Performance Computing and Simulation, HPCS 2016 - Innsbruck, Austria
Duration: 18 Jul 201622 Jul 2016

Other

Other14th International Conference on High Performance Computing and Simulation, HPCS 2016
CountryAustria
CityInnsbruck
Period18/07/1622/07/16

Keywords

  • array thinning
  • biogeography based optimization
  • evolutionary algorithms
  • Linear array synthesis
  • migration models
  • optimization methods

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    Goudos, S. K., Siakavara, K., & Sahalos, J. N. (2016). A comparative study of different biogeography based optimization migration models performance on antenna array thinning problems. In 2016 International Conference on High Performance Computing and Simulation, HPCS 2016 (pp. 270-277). [7568346] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/HPCSim.2016.7568346