GERMAN

Recent Advances in Memetic Algorithms

By J.E. Smith , Natalio Krasnogor , William E. Hart

Book information

Publisher
Springer
Year
2004
ISBN
3540229043, 9783540229049, 9783540323631
Open Library ID
OL9054934M
Language
german
Format
PDF
Filesize
22 MB (22671131 bytes)
Series
Studies in Fuzziness and Soft Computing
Edition
1
Pages
408\405
Time added
2011-04-11 19:55:47

Description

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 being the first book focusing on Memetic algorithms 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.

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