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Memetic Algorithms in Bioinformatics

  • Regina Berretta
  • Carlos Cotta
  • Pablo Moscato
Part of the Studies in Computational Intelligence book series (SCI, volume 379)

Introduction

Bioinformatics is an exciting research field for memetic algorithms (MAs). Its core activity is the integration of techniques from Computer Science, Mathematics and Statistics to address challenging computational problems related with the analysis of large volumes of data. Due to its huge relevance as a means to understand biology in the 21st Century, this field has attracted the attention of many pioneers in MAs, including the authors of this chapter.

Keywords

Local Search Memetic Algorithm Microarray Dataset Protein Structure Prediction Local Search Procedure 
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 2012

Authors and Affiliations

  • Regina Berretta
    • 1
  • Carlos Cotta
    • 2
  • Pablo Moscato
    • 3
  1. 1.Centre for Bioinformatics, Biomarker Discovery and Information-Based Medicine, School of Electrical Engineering and Computer ScienceThe University of Newcastle, University DriveCallaghanAustralia
  2. 2.Escuela Técnica Superior de Ingenieria InformáticaUniversidad de MálagaMálagaSpain
  3. 3.Centre for Bioinformatics, Biomarker Discovery and Information-Based Medicine and Hunter Medical Research Institute, School of Electrical Engineering and Computer ScienceThe University of NewcastleCallaghanAustralia

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