Amazon cover image
Image from Amazon.com

Evolutionary Computation

By: Contributor(s): Material type: ArticleArticleLanguage: English Publication details: IntechOpen 2009Description: 1 electronic resource (584 p.)ISBN:
  • 9789533070087
  • 9789535159131
Subject(s): Online resources: Summary: This book presents several recent advances on Evolutionary Computation, specially evolution-based optimization methods and hybrid algorithms for several applications, from optimization and learning to pattern recognition and bioinformatics. This book also presents new algorithms based on several analogies and metafores, where one of them is based on philosophy, specifically on the philosophy of praxis and dialectics. In this book it is also presented interesting applications on bioinformatics, specially the use of particle swarms to discover gene expression patterns in DNA microarrays. Therefore, this book features representative work on the field of evolutionary computation and applied sciences. The intended audience is graduate, undergraduate, researchers, and anyone who wishes to become familiar with the latest research work on this field.
List(s) this item appears in: Faculty Informational Technology
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Collection Shelving location Call number Status Notes Date due Barcode
Electronic edition Bucheon University Library Computers DOAB 004 E95 Not for loan View (pdf) 1010767

Open Access star Unrestricted online access

This book presents several recent advances on Evolutionary Computation, specially evolution-based optimization methods and hybrid algorithms for several applications, from optimization and learning to pattern recognition and bioinformatics. This book also presents new algorithms based on several analogies and metafores, where one of them is based on philosophy, specifically on the philosophy of praxis and dialectics. In this book it is also presented interesting applications on bioinformatics, specially the use of particle swarms to discover gene expression patterns in DNA microarrays. Therefore, this book features representative work on the field of evolutionary computation and applied sciences. The intended audience is graduate, undergraduate, researchers, and anyone who wishes to become familiar with the latest research work on this field.

Creative Commons https://creativecommons.org/licenses/by-nc-sa/3.0/ cc

English

There are no comments on this title.

to post a comment.