Bioinformatics has never been as popular as it is today. The genomics revolution is generating so much data in such rapid succession that it has become difficult for biologists to decipher. In particular, there are many problems in biology that are too large to solve with standard methods.
Researchers in evolutionary computation (EC) have turned their attention to these problems. They understand the power of EC to rapidly search very large and complex spaces and return reasonable solutions. While these researchers are increasingly interested in problems from the biological sciences, EC and its problem-solving capabilities are generally not yet understood or applied in the biology community.This book offers a definitive resource to bridge the computer science and biology communities.
Gary Fogel and David Corne, well-known representatives of these fields, introduce biology and bioinformatics to computer scientists, and evolutionary computation to biologists and computer scientists unfamiliar with these techniques. The fourteen chapters that follow are written by leading computer scientists and biologists who examine successful applications of evolutionary computation to various problems in the biological sciences.
| ISBN: | 9781558607972 |
| Publication date: | 27th September 2002 |
| Author: | Gary B Natural Selection, Inc Fogel |
| Publisher: | Morgan Kaufmann Publishers In an imprint of Elsevier Science & Technology |
| Format: | Hardback |
| Pagination: | 393 pages |
| Series: | The Morgan Kaufmann Series in Artificial Intelligence |
| Genres: |
Algorithms and data structures Artificial intelligence |
Bioinformatics has never been as popular as it is today. The genomics revolution is generating so much data in such rapid succession that it has become difficult for biologists to decipher.
Evolutionary Computation in Bioinformatics features in the following genres: Algorithms and data structures, Artificial intelligence
Hardback. Not Available.
Evolutionary Computation in Bioinformatics was written by Gary B Natural Selection, Inc Fogel and published by Morgan Kaufmann Publishers In an imprint of Elsevier Science & Technology
Evolutionary Computation in Bioinformatics has 393 pages
Yes it is part of The Morgan Kaufmann Series in Artificial Intelligence series