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Parameter Analysis of a Genetic Algorithm to Design Linear Array Geometries

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International Symposium on Distributed Computing and Artificial Intelligence

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 91))

Abstract

This article summarizes several analyses on employing an iterative learning method of the Computational Artificial Intelligence field, a Genetic Algorithm, focused on designing linear arrays. The objective of these analyses is the effectiveness improvement of these evolutive algorithms in this particular problem. The influence of giving certain values to each of the specific parameters of a Genetic Algorithm is characterized. Obtaining the optimal final solution depends on these parameter values. Thanks to this analysis, the Genetic Algorithm is optimized and also the best linear array geometry, based on certain established quality criteria, is found.

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Author information

Authors and Affiliations

  1. Departamento de Teoría de la Señal y Comunicaciones e Ingeniería Telemática, Universidad de Valladolid, E.T.S.I. Telecomunicación, Paseo Belén 15, 47011, Valladolid, Spain

    Lara del Val, María I. Jiménez, Alberto Izquierdo, Juan J. Villacorta, Alonso Alonso & Albano Carrera

  2. E.U. Informática, Universidad Pontificia de Salamanca, 37002, Salamanca, Spain

    Mariano Raboso

Authors
  1. Lara del Val
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  2. María I. Jiménez
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  3. Mariano Raboso
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  4. Alberto Izquierdo
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  5. Juan J. Villacorta
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  6. Alonso Alonso
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  7. Albano Carrera
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Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence (SNIRE), P.O. Box 2259, 98071-2259, Auburn, WA, USA

    Ajith Abraham

  2. Department of Computing Science and Control, Faculty of Science, University of Salamanca, Plaza de la Merced S/N, 37008, Salamanca, Spain

    Juan M. Corchado

  3. Department of Computing Science Faculty of Science, University of Salamanca, Plaza de la Merced S/N, 37008, Salamanca, Spain

    Sara Rodríguez González  & Juan F. De Paz Santana  & 

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© 2011 Springer-Verlag Berlin Heidelberg

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del Val, L. et al. (2011). Parameter Analysis of a Genetic Algorithm to Design Linear Array Geometries. In: Abraham, A., Corchado, J.M., González, S.R., De Paz Santana, J.F. (eds) International Symposium on Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, vol 91. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19934-9_27

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  • DOI: https://doi.org/10.1007/978-3-642-19934-9_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19933-2

  • Online ISBN: 978-3-642-19934-9

  • eBook Packages: EngineeringEngineering (R0)

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