Overview
- Recent advances in the theory and application of fitness landscapes
- Focusing on theoretical and practical aspects of fitness landscapes
- Written by leading experts in the field of fitness landscapes
Part of the book series: Emergence, Complexity and Computation (ECC, volume 6)
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Table of contents (20 chapters)
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Front Matter
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Principles and Perspectives
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Front Matter
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Topology, Measures and Problem Hardness
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Front Matter
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Visualization and Characterization
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Front Matter
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Keywords
About this book
This book is concerned with recent advances in fitness landscapes. The concept of fitness landscapes originates from theoretical biology and refers to a framework for analysing and visualizing the relationships between genotypes, phenotypes and fitness. These relationships lay at the centre of attempts to mathematically describe evolutionary processes and evolutionary dynamics.
The book addresses recent advances in the understanding of fitness landscapes in evolutionary biology and evolutionary computation. In the volume, experts in the field of fitness landscapes present these findings in an integrated way to make it accessible to a number of audiences: senior undergraduate and graduate students in computer science, theoretical biology, physics, applied mathematics and engineering, but also researcher looking for a reference or/and entry point into using fitness landscapes for analysing algorithms. Also practitioners wanting to employ fitness landscape techniques for evaluating bio- and nature-inspired computing algorithms can find valuable material in the book. For teaching proposes, the book could also be used as a reference handbook.
Editors and Affiliations
Bibliographic Information
Book Title: Recent Advances in the Theory and Application of Fitness Landscapes
Editors: Hendrik Richter, Andries Engelbrecht
Series Title: Emergence, Complexity and Computation
DOI: https://doi.org/10.1007/978-3-642-41888-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2014
Hardcover ISBN: 978-3-642-41887-7Published: 04 December 2013
Softcover ISBN: 978-3-662-51065-0Published: 27 August 2016
eBook ISBN: 978-3-642-41888-4Published: 19 November 2013
Series ISSN: 2194-7287
Series E-ISSN: 2194-7295
Edition Number: 1
Number of Pages: XXXVIII, 553
Number of Illustrations: 126 b/w illustrations, 75 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Mathematical and Computational Biology, Systems Biology