Applications of Computational Intelligence in Biology Current Trends and Open Problems

Computational Intelligence (CI) has been a tremendously active area of - search for the past decade or so. There are many successful applications of CI in many sub elds of biology, including bioinformatics, computational - nomics, protein structure prediction, or neuronal systems modeling and an- ys...

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Corporate Author: SpringerLink (Online service)
Other Authors: Smolinski, Tomasz G. (Editor), Milanova, Mariofanna G. (Editor), Hassanien, Aboul-Ella (Editor)
Format: eBook
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2008, 2008
Series:Studies in Computational Intelligence
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Foundations and Applications
  • Evolving Solutions: The Genetic Algorithm and Evolution Strategies for Finding Optimal Parameters
  • An Introduction to Multi-Objective Evolutionary Algorithms and Some of Their Potential Uses in Biology
  • Current Trends
  • Local Classifiers as a Method of Analysing and Classifying Signals
  • Using Neural Models for Evaluation of Biological Activity of Selected Chemical Compounds
  • Using Machine Vision to Detect Distinctive Behavioral Phenotypes of Thread-shape Microscopic Organism
  • Contour Matching for Fish Species Recognition and Migration Monitoring
  • Using Random Forests to Provide Predicted Species Distribution Maps as a Metric for Ecological Inventory & Monitoring Programs
  • Visualization and Interactive Exploration of Large, Multidimensional Data Sets
  • Open Problems
  • Phylogenomics, Protein Famil