The Univariate Marginal Distribution Algorithm Copes Well With Deception
and Epistasis

v1v2 (latest)

The Univariate Marginal Distribution Algorithm Copes Well With Deception and Epistasis

16 July 2020

Martin S. Krejca

ArXiv (abs)PDF HTML

Papers citing "The Univariate Marginal Distribution Algorithm Copes Well With Deception and Epistasis"

7 / 7 papers shown

Title
Improved Runtime Analysis of a Multi-Valued Compact Genetic Algorithm on Two Generalized OneMax Problems Sumit Adak Carsten Witt 48 0 0 27 Mar 2025
Bivariate Estimation-of-Distribution Algorithms Can Find an Exponential Number of Optima Benjamin Doerr Martin S. Krejca 42 12 0 06 Oct 2023
General Univariate Estimation-of-Distribution Algorithms Benjamin Doerr Marc Dufay 24 4 0 22 Jun 2022
A hybrid estimation of distribution algorithm for joint stratification and sample allocation Mervyn O'Luing Steven D. Prestwich Armagan Tarim 16 0 0 09 Jan 2022
Choosing the Right Algorithm With Hints From Complexity Theory Shouda Wang Weijie Zheng Benjamin Doerr 124 17 0 14 Sep 2021
A Survey on Recent Progress in the Theory of Evolutionary Algorithms for Discrete Optimization Benjamin Doerr Frank Neumann 67 34 0 30 Jun 2020
An Exponential Lower Bound for the Runtime of the cGA on Jump Functions Benjamin Doerr 57 55 0 17 Apr 2019