Overview
- Compact well structured handbook of memetic algorithms
- State-of-the-Art book
- Written by leading experts in this field
Part of the book series: Studies in Computational Intelligence (SCI, volume 379)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (17 chapters)
-
Front Matter
-
Foundations
-
Front Matter
-
-
Methodology
-
Front Matter
-
-
Applications
-
Front Matter
-
Keywords
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.
Editors and Affiliations
Bibliographic Information
Book Title: Handbook of Memetic Algorithms
Editors: Ferrante Neri, Carlos Cotta, Pablo Moscato
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-642-23247-3
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2012
Hardcover ISBN: 978-3-642-23246-6Published: 18 October 2011
Softcover ISBN: 978-3-642-26942-4Published: 30 November 2013
eBook ISBN: 978-3-642-23247-3Published: 29 October 2011
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XXVI, 370
Topics: Mathematical and Computational Engineering, Artificial Intelligence