On the Limitations of the Univariate Marginal Distribution Algorithm to Deception and Where Bivariate EDAs might help

29 July 2019

Papers citing "On the Limitations of the Univariate Marginal Distribution Algorithm to Deception and Where Bivariate EDAs might help"

13 / 13 papers shown

Title
Runtime Analysis of the Univariate Marginal Distribution Algorithm under Low Selective Pressure and Prior Noise Per Kristian Lehre P. Nguyen 42 14 0 19 Apr 2019
An Exponential Lower Bound for the Runtime of the cGA on Jump Functions Benjamin Doerr 46 55 0 17 Apr 2019
Multiplicative Up-Drift Benjamin Doerr Timo Kotzing 33 42 0 11 Apr 2019
A Tight Runtime Analysis for the cGA on Jump Functions---EDAs Can Cross Fitness Valleys at No Extra Cost Benjamin Doerr 38 36 0 26 Mar 2019
Working Principles of Binary Differential Evolution Benjamin Doerr Weijie Zheng 38 29 0 09 Dec 2018
Level-Based Analysis of the Univariate Marginal Distribution Algorithm D. Dang Per Kristian Lehre P. Nguyen 39 35 0 26 Jul 2018
Significance-based Estimation-of-Distribution Algorithms Benjamin Doerr Martin S. Krejca 57 45 0 10 Jul 2018
Improved Runtime Bounds for the Univariate Marginal Distribution Algorithm via Anti-Concentration Per Kristian Lehre P. Nguyen 54 34 0 02 Feb 2018
Theoretical Analysis of Stochastic Search Algorithms Per Kristian Lehre P. S. Oliveto 38 18 0 04 Sep 2017
Update Strength in EDAs and ACO: How to Avoid Genetic Drift Dirk Sudholt Carsten Witt 49 38 0 14 Jul 2016
Level-based Analysis of Genetic Algorithms and other Search Processes Dogan Corus D. Dang A. Eremeev Per Kristian Lehre 64 144 0 29 Jul 2014
How Crossover Speeds Up Building-Block Assembly in Genetic Algorithms Dirk Sudholt 75 61 0 26 Mar 2014
Multiplicative Drift Analysis Benjamin Doerr Daniel Johannsen Carola Doerr 75 282 0 04 Jan 2011