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Large Population Sizes and Crossover Help in Dynamic Environments

Large Population Sizes and Crossover Help in Dynamic Environments

21 April 2020
Johannes Lengler
Jonas Meier
ArXiv (abs)PDFHTML

Papers citing "Large Population Sizes and Crossover Help in Dynamic Environments"

6 / 6 papers shown
Title
Hardest Monotone Functions for Evolutionary Algorithms
Hardest Monotone Functions for Evolutionary Algorithms
Marc Kaufmann
Maxime Larcher
Johannes Lengler
Oliver Sieberling
64
2
0
13 Nov 2023
Fast Re-Optimization of LeadingOnes with Frequent Changes
Fast Re-Optimization of LeadingOnes with Frequent Changes
Nina Bulanova
Arina Buzdalova
Carola Doerr
14
0
0
09 Sep 2022
OneMax is not the Easiest Function for Fitness Improvements
OneMax is not the Easiest Function for Fitness Improvements
Marc Kaufmann
Maxime Larcher
Johannes Lengler
Xun Zou
LRM
93
6
0
14 Apr 2022
Two-Dimensional Drift Analysis: Optimizing Two Functions Simultaneously
  Can Be Hard
Two-Dimensional Drift Analysis: Optimizing Two Functions Simultaneously Can Be Hard
D. Janett
Johannes Lengler
57
3
0
28 Mar 2022
Influence of Binomial Crossover on Approximation Error of Evolutionary
  Algorithms
Influence of Binomial Crossover on Approximation Error of Evolutionary Algorithms
Cong Wang
Jun He
Yu Chen
Xiufen Zou
28
0
0
29 Sep 2021
Runtime analysis of the (mu+1)-EA on the Dynamic BinVal function
Runtime analysis of the (mu+1)-EA on the Dynamic BinVal function
Johannes Lengler
Simone Riedi
15
0
0
26 Oct 2020
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