Recent Advances in the Theory and Application of Fitness Landscapes, 1st Edition

  • Published By:
  • ISBN-10: 3642418880
  • ISBN-13: 9783642418884
  • DDC: 006.31
  • Grade Level Range: College Freshman - College Senior
  • 553 Pages | eBook
  • Original Copyright 2014 | Published/Released June 2014
  • This publication's content originally published in print form: 2014

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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.

Table of Contents

Front Cover.
Half Title Page.
Title Page.
Copyright Page.
Foreword: Statable and Non–prestatable Fitness Landscapes.
List of Contributors.
1: Principles and Perspectives.
2: Fitness Landscapes: From Evolutionary Biology to Evolutionary Computation.
3: Fundamental Principles of Control Landscapes with Applications to Quantum Mechanics, Chemistry and Evolution.
4: Biomolecular Information Gained through In Vitro Evolution on a Fitness Landscape in Sequence Space.
5: Topology, Measures and Problem Hardness.
6: Fitness Landscape Analysis for Metaheuristic Performance Prediction.
7: Fitness Landscapes and Problem Difficulty in Evolutionary Algorithms: From Theory to Applications.
8: Geometry and Coarse-Grained Representations of Landscapes.
9: Polytopes, Graphs and Fitness Landscapes.
10: Estimating the Degree of Neutralityand Ruggedness of Fitness Landscapes.
11: Local Optima Networks: A New Model of Combinatorial Fitness Landscapes.
12: Coevolution and Dynamics.
13: Fitness Landscapes That Depend on Time.
14: Red Queen Coevolution on Fitness Landscapes.
15: Eco–Evolutionary Dynamics on Deformable Fitness Landscapes.
16: Correlation Analysis of Coupled Fitness Landscapes.
17: Dynamic Real–Valued Landscapes and the Optimization Performance.
18: Visualization and Characterization.
19: Fractal Analysis of Fitness Landscapes.
20: Fitness Morphs and Nonlinear Projections of Agent–Case Embeddings to Characterize Fitness Landscapes.
21: Visual Analysis of Discrete Particle Swarm Optimization Using Fitness Landscapes.
22: Predicting Evolution and Visualizing High–Dimensional Fitness Landscapes.
23: Outlook and Afterthoughts.
24: Frontiers of Fitness Landscapes: A Summary of Open Questions.
25: Fitness Landscapes –20 Years Later.