Advertisement

Probabilistic Tools for the Analysis of Randomized Optimization Heuristics

  • Benjamin Doerr
Chapter
Part of the Natural Computing Series book series (NCS)

Abstract

This chapter collects several probabilistic tools that have proven to be useful in the analysis of randomized search heuristics. This includes classic material such as the Markov, Chebyshev, and Chernoff inequalities, but also lesser-known topics such as stochastic domination and coupling, and Chernoff bounds for geometrically distributed random variables and for negatively correlated random variables. Most of the results presented here have appeared previously, but some only in recent conference publications. While the focus is on presenting tools for the analysis of randomized search heuristics, many of these may be useful as well for the analysis of classic randomized algorithms or discrete random structures.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Benjamin Doerr
    • 1
  1. 1.École Polytechnique, CNRS, Laboratoire d’Informatique (LIX)PalaiseauFrance

Personalised recommendations