Recent Advances in the Theory and Application of Fitness Landscapes

  • Hendrik Richter
  • Andries Engelbrecht
Part of the Emergence, Complexity and Computation book series (ECC, volume 6)

Table of contents

  1. Front Matter
    Pages 1-36
  2. Principles and Perspectives

  3. Topology, Measures and Problem Hardness

    1. Front Matter
      Pages 101-101
    2. Katherine M. Malan, Andries P. Engelbrecht
      Pages 103-132
    3. Konstantin Klemm, Jing Qin, Peter F. Stadler
      Pages 153-176
    4. Kristina Crona
      Pages 177-205
    5. Gabriela Ochoa, Sébastien Verel, Fabio Daolio, Marco Tomassini
      Pages 233-262
  4. Coevolution and Dynamics

    1. Front Matter
      Pages 263-263
    2. Hendrik Richter
      Pages 265-299
    3. Ricard V. Solé, Josep Sardanyés
      Pages 301-338
    4. Richard A. Watson, Marc Ebner
      Pages 339-368
  5. Visualization and Characterization

    1. Front Matter
      Pages 425-425
    2. Ivan Zelinka, Oldrich Zmeskal, Petr Saloun
      Pages 427-456

About this book

Introduction

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.

 

Keywords

Evolutionary Biology Evolutionary Computation Evolutionary Paths Fitness Landscapes Problem Hardness Solving Optimization Problems

Editors and affiliations

  • Hendrik Richter
    • 1
  • Andries Engelbrecht
    • 2
  1. 1.Faculty of Electrical Engineering & Information TechnologyHTWK Leipzig University of Applied SciencesLeipzigGermany
  2. 2.Department of Computer ScienceUniversity of PretoriaPretoriaSouth Africa

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-41888-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 2014
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-41887-7
  • Online ISBN 978-3-642-41888-4
  • Series Print ISSN 2194-7287
  • Series Online ISSN 2194-7295
  • About this book