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Exponential Slowdown for Larger Populations: The $(μ+1)$-EA on
  Monotone Functions
v1v2v3 (latest)

Exponential Slowdown for Larger Populations: The (μ+1)(μ+1)(μ+1)-EA on Monotone Functions

30 July 2019
Johannes Lengler
Xun Zou
ArXiv (abs)PDFHTML

Papers citing "Exponential Slowdown for Larger Populations: The $(μ+1)$-EA on Monotone Functions"

13 / 13 papers shown
Title
Empirical Analysis of the Dynamic Binary Value Problem with IOHprofiler
Empirical Analysis of the Dynamic Binary Value Problem with IOHprofiler
Diederick Vermetten
Johannes Lengler
Dimitri Rusin
Thomas Bäck
Carola Doerr
61
1
0
24 Apr 2024
Quality-Diversity Algorithms Can Provably Be Helpful for Optimization
Quality-Diversity Algorithms Can Provably Be Helpful for Optimization
Chao Qian
Ke Xue
Ren-Jian Wang
85
6
0
19 Jan 2024
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
Runtime Analysis of Quality Diversity Algorithms
Runtime Analysis of Quality Diversity Algorithms
Jakob Bossek
Dirk Sudholt
71
3
0
30 May 2023
Analysing Equilibrium States for Population Diversity
Analysing Equilibrium States for Population Diversity
Johannes Lengler
Andre Opris
Dirk Sudholt
26
3
0
19 Apr 2023
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
Self-adjusting Population Sizes for the $(1, λ)$-EA on Monotone
  Functions
Self-adjusting Population Sizes for the (1,λ)(1, λ)(1,λ)-EA on Monotone Functions
Marc Kaufmann
Maxime Larcher
Johannes Lengler
Xun Zou
112
10
0
01 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
52
3
0
28 Mar 2022
Self-Adjusting Population Sizes for Non-Elitist Evolutionary Algorithms:
  Why Success Rates Matter
Self-Adjusting Population Sizes for Non-Elitist Evolutionary Algorithms: Why Success Rates Matter
Mario Alejandro Hevia Fajardo
Dirk Sudholt
51
18
0
12 Apr 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
10
0
0
26 Oct 2020
Large Population Sizes and Crossover Help in Dynamic Environments
Large Population Sizes and Crossover Help in Dynamic Environments
Johannes Lengler
Jonas Meier
28
21
0
21 Apr 2020
Fast Mutation in Crossover-based Algorithms
Fast Mutation in Crossover-based Algorithms
Denis Antipov
M. Buzdalov
Benjamin Doerr
55
36
0
14 Apr 2020
Exponential Upper Bounds for the Runtime of Randomized Search Heuristics
Exponential Upper Bounds for the Runtime of Randomized Search Heuristics
Benjamin Doerr
88
10
0
13 Apr 2020
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