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Item Details
| Title:
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RECENT ADVANCES IN MEMETIC ALGORITHMS
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| By: |
William E. Hart (Editor), Natalio Krasnogor (Editor), J.E. Smith (Editor) |
| Format: |
Paperback |
| List price:
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£149.99 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
3642061761 |
| ISBN 13: |
9783642061769 |
| Publisher: |
SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG |
| Pub. date: |
21 October, 2010 |
| Edition: |
Softcover reprint of hardcover 1st ed. 2005 |
| Series: |
Studies in Fuzziness and Soft Computing 166 |
| Pages: |
410 |
| Synopsis: |
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. |
| Illustrations: |
X, 410 p. |
| Publication: |
Germany |
| Imprint: |
Springer-Verlag Berlin and Heidelberg GmbH & Co. K |
| Returns: |
Returnable |
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