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 Computing 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.

Introduction to Evolutionary Computing