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Lasting Diversity and Superior Runtime Guarantees for the $(μ+1)$
  Genetic Algorithm

Lasting Diversity and Superior Runtime Guarantees for the (μ+1)(μ+1)(μ+1) Genetic Algorithm

24 February 2023
Benjamin Doerr
Aymen Echarghaoui
Mohammed Jamal
Martin S. Krejca
ArXivPDFHTML

Papers citing "Lasting Diversity and Superior Runtime Guarantees for the $(μ+1)$ Genetic Algorithm"

7 / 7 papers shown
Title
Maintaining Diversity Provably Helps in Evolutionary Multimodal
  Optimization
Maintaining Diversity Provably Helps in Evolutionary Multimodal Optimization
Shengjie Ren
Zhijia Qiu
Chao Bian
Miqing Li
Chao Qian
38
5
0
04 Jun 2024
How Population Diversity Influences the Efficiency of Crossover
How Population Diversity Influences the Efficiency of Crossover
Sacha Cerf
Johannes Lengler
16
0
0
18 Apr 2024
Runtime Analysis of the SMS-EMOA for Many-Objective Optimization
Runtime Analysis of the SMS-EMOA for Many-Objective Optimization
Weijie Zheng
Benjamin Doerr
30
18
0
16 Dec 2023
Improving Time and Memory Efficiency of Genetic Algorithms by Storing
  Populations as Minimum Spanning Trees of Patches
Improving Time and Memory Efficiency of Genetic Algorithms by Storing Populations as Minimum Spanning Trees of Patches
M. Buzdalov
11
1
0
29 Jun 2023
Larger Offspring Populations Help the $(1 + (λ, λ))$ Genetic
  Algorithm to Overcome the Noise
Larger Offspring Populations Help the (1+(λ,λ))(1 + (λ, λ))(1+(λ,λ)) Genetic Algorithm to Overcome the Noise
A. Ivanova
Denis Antipov
Benjamin Doerr
21
0
0
08 May 2023
How the Move Acceptance Hyper-Heuristic Copes With Local Optima: Drastic
  Differences Between Jumps and Cliffs
How the Move Acceptance Hyper-Heuristic Copes With Local Optima: Drastic Differences Between Jumps and Cliffs
Benjamin Doerr
Arthur Dremaux
J. Lutzeyer
Aurélien Stumpf
18
5
0
20 Apr 2023
Runtime Analysis for the NSGA-II: Provable Speed-Ups From Crossover
Runtime Analysis for the NSGA-II: Provable Speed-Ups From Crossover
Benjamin Doerr
Zhongdi Qu
15
43
0
18 Aug 2022
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