Authors:
Editors:
- Only book dealing exclusively with the notion of epistasis in the framework of evelotionary algorithms and genetic algorithms in particular
- Completely self-contained (even includes a mathematical refresher intended for users with more computer science than math background)
- Chapter 0 is intended for neophytes in the field of genetic algorithms and optimization theory; it provides in a very readable way the basics of genetic algorithms
- Provides new questions (and answers) in the field between combinatorics and optimization theory, between discrete and mathematics and theoretical computer science, between linear algebra and complexity theory
Part of the book series: Mathematical Modelling: Theory and Applications (MMTA, volume 20)
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (7 chapters)
-
Front Matter
-
Back Matter
Reviews
From the reviews:
"This book deals with combinatorial aspects of epistasis, especially normalized epistasis, a concept that exists in genetics and evolutionary algorithms. It starts with the theory of evolutionary algorithms. This illustrative introduction makes the book readable independent on other textbooks. … The book is very well written and presents many important and useful results. … It shows also that difficult practical problems can only be efficiently solved by a combination of Modelling, Mathematics and Computing." (Christian Posthoff, Zentralblatt MATH, Vol. 1108 (10), 2007)
Authors, Editors and Affiliations
-
Universiteit Antwerpen, Antwerpen, Belgium
R. Lowen, A. Verschoren, B. Naudts, A. Verschoren
-
Universidade da Coruña, A Coruña, Spain
M. Iglesias, C. Vidal
Bibliographic Information
Book Title: Foundations of Generic Optimization
Book Subtitle: Volume 1: A Combinatorial Approach to Epistasis
Authors: M. Iglesias, B. Naudts, A. Verschoren, C. Vidal
Editors: R. Lowen, A. Verschoren
Series Title: Mathematical Modelling: Theory and Applications
DOI: https://doi.org/10.1007/1-4020-3665-5
Publisher: Springer Dordrecht
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Science+Business Media B.V. 2005
Hardcover ISBN: 978-1-4020-3666-8Published: 06 July 2005
Softcover ISBN: 978-90-481-6922-1Published: 28 October 2010
eBook ISBN: 978-1-4020-3665-1Published: 30 March 2006
Series ISSN: 1386-2960
Edition Number: 1
Number of Pages: XIII, 298
Topics: Mathematics of Computing, Discrete Mathematics in Computer Science, Genetics and Population Dynamics, Optimization, Combinatorics