Editors:
First book focusing on memetic algorithms as the central topical matter
Gives a coherent, integrated view on both good practice examples and new trends including a concise and self-contained introduction to memetic algorithms
Presents a rich state-of-the-art gallery of works on memetic algorithms
Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 166)
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Table of contents (16 chapters)
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Front Matter
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Introduction to Memetic Algorithms
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Front Matter
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Applications of Memetic Algorithms
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Front Matter
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Methodological Aspects of Memetic Algorithms
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Front Matter
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Related Search Technologies
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Front Matter
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About this book
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.
Keywords
- algorithm
- algorithms
- artificial intelligence
- best fit
- combinatorial optimization
- communication
- construction
- evolutionary algorithm
- fuzzy
- intelligence
- learning
- operator
- optimization
- virtual reality
Editors and Affiliations
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Algorithms and Discrete Mathematics Department, Sandia National Laboratories, Albuquerque, USA
William E. Hart
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Faculty of Computing, Engineering and Mathematical Sciences, University of the West of England, Bristol, UK
J. E. Smith
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Automatic Scheduling, Optimisation and Planning Group, School of Computer Science and IT, University of Nottingham, Nottingham, UK
N. Krasnogor
Bibliographic Information
Book Title: Recent Advances in Memetic Algorithms
Editors: William E. Hart, J. E. Smith, N. Krasnogor
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/3-540-32363-5
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2005
Hardcover ISBN: 978-3-540-22904-9Published: 18 October 2004
Softcover ISBN: 978-3-642-06176-9Published: 21 October 2010
eBook ISBN: 978-3-540-32363-1Published: 22 June 2006
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: X, 410
Topics: Probability Theory and Stochastic Processes, Software Engineering/Programming and Operating Systems, Mathematical and Computational Engineering, Artificial Intelligence