Estimation of Distribution Algorithms in Gene Expression Data Analysis View Full Text


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Chapter Info

DATE

2012-01-12

AUTHORS

Elham Salehi , Robin Gras

ABSTRACT

Estimation of Distribution Algorithm (EDA) is a relatively new optimization method in the field of evolutionary algorithm. EDAs use probabilistic models to learn properties of the problem to solve from promising solutions and use them to guide the search process. These models can also reveal some unknown regularity patterns in search space. These algorithms have been used for solving some challenging NP-hard bioinformatics problems and demonstrated competitive accuracy. In this chapter, we first provides an overview of different existing EDAs and then review some of their application in bioinformatics and finally we discuss a specific problem that have been solved with this method in more details. More... »

PAGES

101-121

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-23151-3_6

DOI

http://dx.doi.org/10.1007/978-3-642-23151-3_6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1032958890


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