The Open UniversitySkip to content
 

Significance of Hybrid Evolutionary Computation for Ab Initio Protein Folding Prediction

Houqe, Tamjid; Chetty, Madhu and Dooley, Laurence S. (2007). Significance of Hybrid Evolutionary Computation for Ab Initio Protein Folding Prediction. In: Grosan, Crina; Abraham, Ajith and Ishibuchi, Hisao eds. Hybrid Evolutionary Algorithms. Studies in Computational Intelligence Series (SCI), 75 (XVI). USA: Springer, pp. 235–256.

URL: http://www.springer.com/engineering/book/978-3-540...
Google Scholar: Look up in Google Scholar

Abstract

About the book:
Hybridization of evolutionary algorithms is getting popular due to their capabilities in handling several real world problems involving complexity, noisy environment, imprecision, uncertainty and vagueness. This edited volume is targeted to present the latest state-of-the-art methodologies in ’Hybrid Evolutionary Algorithms’. This book deals with the theoretical and methodological aspects, as well as various applications to many real world problems from science, technology, business or commerce. This volume comprises of 14 chapters including an introductory chapter giving the fundamental definitions and some important research challenges. Chapters were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed.

Item Type: Book Chapter
ISBN: 3-540-73296-9, 978-3-540-73296-9
Academic Unit/Department: Mathematics, Computing and Technology > Computing & Communications
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 10535
Depositing User: Laurence Dooley
Date Deposited: 08 Apr 2008
Last Modified: 02 Dec 2010 20:07
URI: http://oro.open.ac.uk/id/eprint/10535
Share this page:

Actions (login may be required)

View Item
Report issue / request change

Policies | Disclaimer

© The Open University   + 44 (0)870 333 4340   general-enquiries@open.ac.uk