Memetic algorithms are evolutionary algorithms that apply a local search process to refine solutions to hard problems. Memetic algorithms are the subject of intense scientific research and have been successfully applied to a multitude of real-world problems ranging from the construction of optimal university exam timetables, to the prediction of protein structures and the optimal design of space-craft trajectories. This monograph presents a rich state-of-the-art gallery of works on memetic algorithms. Recent Advances in Memetic Algorithms is the first book that focuses on this technology as the central topical matter. This book gives a coherent, integrated view on both good practice examples and new trends including a concise and self-contained introduction to memetic algorithms. It is a necessary read for postgraduate students and researchers interested in recent advances in search and optimization technologies based on memetic algorithms, but can also be used as complement to undergraduate textbooks on artificial intelligence.
Or split into 4x interest-free payments of 25% on orders over R50
Learn more
Memetic algorithms are evolutionary algorithms that apply a local search process to refine solutions to hard problems. Memetic algorithms are the subject of intense scientific research and have been successfully applied to a multitude of real-world problems ranging from the construction of optimal university exam timetables, to the prediction of protein structures and the optimal design of space-craft trajectories. This monograph presents a rich state-of-the-art gallery of works on memetic algorithms. Recent Advances in Memetic Algorithms is the first book that focuses on this technology as the central topical matter. This book gives a coherent, integrated view on both good practice examples and new trends including a concise and self-contained introduction to memetic algorithms. It is a necessary read for postgraduate students and researchers interested in recent advances in search and optimization technologies based on memetic algorithms, but can also be used as complement to undergraduate textbooks on artificial intelligence.
Imprint | Springer-Verlag |
Country of origin | Germany |
Series | Studies in Fuzziness and Soft Computing, 166 |
Release date | October 2004 |
Availability | Expected to ship within 12 - 17 working days |
First published | 2005 |
Editors | William E Hart, Natalio Krasnogor, J. E. Smith |
Dimensions | 235 x 155 x 23mm (L x W x T) |
Format | Hardcover |
Pages | 410 |
Edition | 2005 ed. |
ISBN-13 | 978-3-540-22904-9 |
Barcode | 9783540229049 |
Categories | |
LSN | 3-540-22904-3 |