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* Evolutionary Computation in Bioinformatics (The Morgan Kaufmann Series in Artificial Intelligence) ✓ PDF Read by # Brand: Morgan Kaufmann eBook or Kindle ePUB Online free. Evolutionary Computation in Bioinformatics (The Morgan Kaufmann Series in Artificial Intelligence) A good literature survey Dr. Lee D. Carlson The subject of this book would seem a natural one, given the evolutionary paradigm in biology. Genetic algorithms and evolutionary programming have now found use in many different fields such as physics, financial engineering, network modeling, and computational radiology, to name a few. This use will no doubt continue as computer processing power increases in the future. Although genetic/evolutionary approach. "Significant Addition to Biocomputing" ac
| Title | : | Evolutionary Computation in Bioinformatics (The Morgan Kaufmann Series in Artificial Intelligence) |
| Author | : | |
| Rating | : | 4.55 (886 Votes) |
| Asin | : | 1558607978 |
| Format Type | : | paperback |
| Number of Pages | : | 393 Pages |
| Publish Date | : | 2014-11-14 |
| Language | : | English |
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. In particular, there are many problems in biology that are too large to solve with standard methods. 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. They understand the power of EC to rapidly search very
A good literature survey Dr. Lee D. Carlson The subject of this book would seem a natural one, given the evolutionary paradigm in biology. Genetic algorithms and evolutionary programming have now found use in many different fields such as physics, financial engineering, network modeling, and computational radiology, to name a few. This use will no doubt continue as computer processing power increases in the future. Although genetic/evolutionary approach. "Significant Addition to Biocomputing" according to A Customer. I like this book. Bioinformatics is a ripe area for applying evolutionary algorithms and the book provides a good overview of many different applications. Some chapters are more polished than others, but that's to be expected. The editors do an excellent job of introducing both bioinformatics and evolutionary computation to their respective audiences. I can't think of another book that makes such an effort to
It covers most topics a bioinformatician will find interesting."--Santosh Mishra, Eli Lilly . "This is a fine book that clearly discusses the applications of evolutionary computation techniques to a variety of different areas
His early research on evolutionary timetabling (with Peter Ross) resultedin the first freely available and successful EC-based general timetabling programfor educational and other institutions. in biology from the University of California, Santa Cruz, in 1991 and a Ph.D biology from the University of California, Los Angeles, in 1998 with a focus onevolutionary bio
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