Overview
- Gives a neoteric view of Differential Evolution
- Unique formula of global optimization
- Shows the best known metaheuristics through the prism of Differential Evolution
- Revolutionary ideas in population-based optimization
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Optimization and Its Applications (SOIA, volume 5)
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Table of contents (11 chapters)
Reviews
From the reviews:
"The book covers almost everything, including the latest developments, about the evolutionary meta-heuristic approach. … a well-written book which is enriched by the interesting writing style of the author. … The author is not only an expert in the field of the book, but also has had a great impact on its latest developments … . the stress of the book lies more on the practical side of the algorithm than on its theory, it is a good source for academia, science and especially practice." (Panos M. Pardalos, Mathematical Reviews, Issue 2007 e)
"The book deals with the neoteric differential evolution, strategies of search, transversal differential evolution, energetic selection principle, hybridization of differential evolution and applications. The writing style is very dynamic and nice, inviting the interested reader (students, teachers, engineers etc.) to learn more about this exciting subject." (Florin Gorunescu, Zentralblatt MATH, Vol. 1136 (14), 2008)
Bibliographic Information
Book Title: Differential Evolution
Book Subtitle: In Search of Solutions
Authors: Vitaliy Feoktistov
Series Title: Springer Optimization and Its Applications
DOI: https://doi.org/10.1007/978-0-387-36896-2
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag US 2006
Hardcover ISBN: 978-0-387-36895-5Published: 17 October 2006
Softcover ISBN: 978-1-4419-4234-0Published: 24 November 2010
eBook ISBN: 978-0-387-36896-2Published: 15 February 2007
Series ISSN: 1931-6828
Series E-ISSN: 1931-6836
Edition Number: 1
Number of Pages: XII, 196
Topics: Optimization, Artificial Intelligence, Programming Techniques, Algorithms, Operations Research/Decision Theory, Computational Intelligence