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  • © 2014

Recent Advances in the Theory and Application of Fitness Landscapes

  • 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)

  1. Front Matter

    Pages 1-36
  2. Principles and Perspectives

    1. Front Matter

      Pages 1-1
    2. Fundamental Principles of Control Landscapes with Applications to Quantum Mechanics, Chemistry and Evolution

      • Herschel Rabitz, Re-Bing Wu, Tak-San Ho, Katharine Moore Tibbetts, Xiaojiang Feng
      Pages 33-70
  3. Topology, Measures and Problem Hardness

    1. Front Matter

      Pages 101-101
    2. Fitness Landscape Analysis for Metaheuristic Performance Prediction

      • Katherine M. Malan, Andries P. Engelbrecht
      Pages 103-132
    3. Geometry and Coarse-Grained Representations of Landscapes

      • Konstantin Klemm, Jing Qin, Peter F. Stadler
      Pages 153-176
    4. Polytopes, Graphs and Fitness Landscapes

      • Kristina Crona
      Pages 177-205
    5. Local Optima Networks: A New Model of Combinatorial Fitness Landscapes

      • Gabriela Ochoa, Sébastien Verel, Fabio Daolio, Marco Tomassini
      Pages 233-262
  4. Coevolution and Dynamics

    1. Front Matter

      Pages 263-263
    2. Fitness Landscapes That Depend on Time

      • Hendrik Richter
      Pages 265-299
    3. Red Queen Coevolution on Fitness Landscapes

      • Ricard V. Solé, Josep Sardanyés
      Pages 301-338
    4. Eco-Evolutionary Dynamics on Deformable Fitness Landscapes

      • Richard A. Watson, Marc Ebner
      Pages 339-368
  5. Visualization and Characterization

    1. Front Matter

      Pages 425-425
    2. Fractal Analysis of Fitness Landscapes

      • Ivan Zelinka, Oldrich Zmeskal, Petr Saloun
      Pages 427-456

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

  • Faculty of Electrical Engineering & Information Technology, HTWK Leipzig University of Applied Sciences, Leipzig, Germany

    Hendrik Richter

  • Department of Computer Science, University of Pretoria, Pretoria, South Africa

    Andries Engelbrecht

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

Buy it now

Buying options

eBook USD 189.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access