Studies in Computational Intelligence

Handbook of Memetic Algorithms

Editors: Neri, Ferrante, Cotta, Carlos, Moscato, Pablo (Eds.)

  • Compact well structured handbook of memetic algorithms
  • State-of-the-Art book
  • Written by leading experts in this field
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eBook $189.00
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valid through November 5, 2017
  • ISBN 978-3-642-23247-3
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Hardcover $239.00
price for USA
valid through November 5, 2017
  • ISBN 978-3-642-23246-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $239.00
price for USA
valid through November 5, 2017
  • ISBN 978-3-642-26942-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the eBook  
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About this book

Memetic Algorithms (MAs) are computational intelligence structures combining multiple and various operators in order to address optimization problems.  The combination and interaction amongst operators evolves and promotes the diffusion of the most successful units and generates an algorithmic behavior which can handle complex objective functions and hard fitness landscapes.  

“Handbook of Memetic Algorithms” organizes, in a structured way, all the the most important results in the field of MAs since their earliest definition until now.  A broad review including various algorithmic solutions as well as successful applications is included in this book. Each class of optimization problems, such as constrained optimization, multi-objective optimization, continuous vs combinatorial problems, uncertainties, are analysed separately and, for each problem,  memetic recipes for tackling the difficulties are given with some successful examples. Although this book contains chapters written by multiple authors, a great attention has been given by the editors to make it a compact and smooth work which covers all the main areas of computational intelligence optimization. It is not only a necessary read for researchers working in the research area, but also a useful handbook for practitioners and engineers who need to address real-world optimization problems. In addition, the book structure makes it an interesting work also for graduate students and researchers is related fields of mathematics and computer science.  

Table of contents (17 chapters)

  • Basic Concepts

    Neri, Ferrante (et al.)

    Pages 3-7

  • Evolutionary Algorithms

    Eiben, Ágoston E. (et al.)

    Pages 9-27

  • Local Search

    Oca, Marco A. Montes (et al.)

    Pages 29-41

  • A Primer on Memetic Algorithms

    Neri, Ferrante (et al.)

    Pages 43-52

  • Parametrization and Balancing Local and Global Search

    Sudholt, Dirk

    Pages 55-72

Buy this book

eBook $189.00
price for USA (gross)
valid through November 5, 2017
  • ISBN 978-3-642-23247-3
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $239.00
price for USA
valid through November 5, 2017
  • ISBN 978-3-642-23246-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $239.00
price for USA
valid through November 5, 2017
  • ISBN 978-3-642-26942-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the eBook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Handbook of Memetic Algorithms
Editors
  • Ferrante Neri
  • Carlos Cotta
  • Pablo Moscato
Series Title
Studies in Computational Intelligence
Series Volume
379
Copyright
2012
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-23247-3
DOI
10.1007/978-3-642-23247-3
Hardcover ISBN
978-3-642-23246-6
Softcover ISBN
978-3-642-26942-4
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XXVI, 370
Topics