Suggested Reading for Chapter 16: Theory

  • A.E. Eiben and G. Rudolph.Theory of evolutionary algorithms: a bird’s eye view. Theoretical Computer Science, 229:1–2 pp. 3–9, 1999
  • L. Kallel, B. Naudts, and A. Rogers (editors). Theoretical Aspects of Evolutionary┬áComputing Springer, Berlin, Heidelberg, New York, 2001
    A collection of accessible introductory texts by experts in the field
  • C. Reeves and J. Rowe. Genetic Algorithms: Principles and Perspectives. Kluwer, Norwell MA, 2002
  • H.-G. Beyer. The theory of Evolution Strategies. Springer, Berlin, Heidelberg, New York, 2001
  • W.M. Spears. Evolutionary Algorithms: the role of mutation and recombination. Springer, Berlin, Heidelberg, New York, 2000
  • M.D. Vose. The Simple Genetic Algorithm. MIT Press, Cambridge MA, 1999
  • D.E. Goldberg The Design of Innovation: Lessons from and for Competent Genetic Algorithms (Genetic Algorithms and Evolutionary Computation) Kluwer Academic Press, 2002
  • T. Jansen Analyzing Evolutionary Algorithms. The Computer Science Perspective, Springer, Natural Computing Series 2013
  • Y. Borenstein and A. Moraglio (Eds)Theory and Principled Methods for the Design of Metaheuristics,Springer: Natural Computing Series, 2014.

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The on-line accompaniment to the book Introduction to Evolutionary Computing