ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1606.05551
  4. Cited By
Self-adaptation of Mutation Rates in Non-elitist Populations

Self-adaptation of Mutation Rates in Non-elitist Populations

17 June 2016
D. Dang
Per Kristian Lehre
ArXiv (abs)PDFHTML

Papers citing "Self-adaptation of Mutation Rates in Non-elitist Populations"

28 / 28 papers shown
Title
Tuning without Peeking: Provable Privacy and Generalization Bounds for LLM Post-Training
Tuning without Peeking: Provable Privacy and Generalization Bounds for LLM Post-Training
Ismail Labiad
Mathurin Videau
Matthieu Kowalski
Marc Schoenauer
Alessandro Leite
Julia Kempe
O. Teytaud
AAML
156
0
0
02 Jul 2025
Selection of Filters for Photonic Crystal Spectrometer Using Domain-Aware Evolutionary Algorithms
Selection of Filters for Photonic Crystal Spectrometer Using Domain-Aware Evolutionary Algorithms
Kirill Antonov
Marijn Siemons
Niki van Stein
Thomas Bäck
Ralf Kohlhaas
Anna V. Kononova
61
0
0
17 Oct 2024
Evolutionary Retrofitting
Evolutionary RetrofittingACM Transactions on Evolutionary Learning and Optimization (ACM TELO), 2024
Mathurin Videau
M. Zameshina
Alessandro Leite
Laurent Najman
Marc Schoenauer
O. Teytaud
275
1
0
15 Oct 2024
Crossover Can Guarantee Exponential Speed-Ups in Evolutionary
  Multi-Objective Optimisation
Crossover Can Guarantee Exponential Speed-Ups in Evolutionary Multi-Objective OptimisationArtificial Intelligence (AIJ), 2023
D. Dang
Andre Opris
Dirk Sudholt
160
22
0
31 Jan 2023
Fairness in generative modeling
Fairness in generative modeling
M. Zameshina
O. Teytaud
F. Teytaud
Vlad Hosu
N. Carraz
Laurent Najman
Markus Wagner
SyDa
135
3
0
06 Oct 2022
Effective Mutation Rate Adaptation through Group Elite Selection
Effective Mutation Rate Adaptation through Group Elite SelectionAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2022
Akarsh Kumar
B. Liu
Risto Miikkulainen
Peter Stone
88
10
0
11 Apr 2022
Two-Dimensional Drift Analysis: Optimizing Two Functions Simultaneously
  Can Be Hard
Two-Dimensional Drift Analysis: Optimizing Two Functions Simultaneously Can Be HardParallel Problem Solving from Nature (PPSN), 2022
D. Janett
Johannes Lengler
165
2
0
28 Mar 2022
Adversarial Attacks against Windows PE Malware Detection: A Survey of
  the State-of-the-Art
Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-ArtComputers & security (CS), 2021
Xiang Ling
Lingfei Wu
Jiangyu Zhang
Zhenqing Qu
Wei Deng
...
Chunming Wu
S. Ji
Tianyue Luo
Jingzheng Wu
Yanjun Wu
AAML
372
96
0
23 Dec 2021
Stagnation Detection with Randomized Local Search
Stagnation Detection with Randomized Local SearchEvolutionary Computation (Evol. Comput.), 2021
A. Rajabi
Carsten Witt
149
35
0
28 Jan 2021
EvolGAN: Evolutionary Generative Adversarial Networks
EvolGAN: Evolutionary Generative Adversarial Networks
Baptiste Roziere
F. Teytaud
Vlad Hosu
Hanhe Lin
Jérémy Rapin
M. Zameshina
O. Teytaud
GAN
111
18
0
28 Sep 2020
A Survey on Recent Progress in the Theory of Evolutionary Algorithms for
  Discrete Optimization
A Survey on Recent Progress in the Theory of Evolutionary Algorithms for Discrete Optimization
Benjamin Doerr
Frank Neumann
261
38
0
30 Jun 2020
Runtime Analysis of a Heavy-Tailed $(1+(λ,λ))$ Genetic
  Algorithm on Jump Functions
Runtime Analysis of a Heavy-Tailed (1+(λ,λ))(1+(λ,λ))(1+(λ,λ)) Genetic Algorithm on Jump Functions
Denis Antipov
Benjamin Doerr
100
36
0
05 Jun 2020
Versatile Black-Box Optimization
Versatile Black-Box OptimizationAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2020
Jialin Liu
A. Moreau
Mike Preuss
Baptiste Roziere
Jérémy Rapin
F. Teytaud
O. Teytaud
127
43
0
29 Apr 2020
On Non-Elitist Evolutionary Algorithms Optimizing Fitness Functions with
  a Plateau
On Non-Elitist Evolutionary Algorithms Optimizing Fitness Functions with a Plateau
A. Eremeev
77
3
0
18 Apr 2020
Self-Adjusting Evolutionary Algorithms for Multimodal Optimization
Self-Adjusting Evolutionary Algorithms for Multimodal Optimization
A. Rajabi
Carsten Witt
187
68
0
07 Apr 2020
Does Comma Selection Help To Cope With Local Optima
Does Comma Selection Help To Cope With Local Optima
Benjamin Doerr
181
55
0
02 Apr 2020
Self-adaptation in non-Elitist Evolutionary Algorithms on Discrete
  Problems with Unknown Structure
Self-adaptation in non-Elitist Evolutionary Algorithms on Discrete Problems with Unknown StructureIEEE Transactions on Evolutionary Computation (TEVC), 2020
B. Case
Per Kristian Lehre
94
34
0
01 Apr 2020
Runtime Analysis of Fitness-Proportionate Selection on Linear Functions
Runtime Analysis of Fitness-Proportionate Selection on Linear Functions
D. Dang
A. Eremeev
Per Kristian Lehre
68
3
0
23 Aug 2019
Towards a More Practice-Aware Runtime Analysis of Evolutionary
  Algorithms
Towards a More Practice-Aware Runtime Analysis of Evolutionary Algorithms
E. C. Pinto
Carola Doerr
83
38
0
03 Dec 2018
Runtime Analysis for Self-adaptive Mutation Rates
Runtime Analysis for Self-adaptive Mutation Rates
Benjamin Doerr
Carsten Witt
Jing Yang
98
60
0
30 Nov 2018
Theory of Parameter Control for Discrete Black-Box Optimization:
  Provable Performance Gains Through Dynamic Parameter Choices
Theory of Parameter Control for Discrete Black-Box Optimization: Provable Performance Gains Through Dynamic Parameter Choices
Benjamin Doerr
Carola Doerr
162
80
0
16 Apr 2018
Combating catastrophic forgetting with developmental compression
Combating catastrophic forgetting with developmental compression
Shawn L. E. Beaulieu
Sam Kriegman
Josh Bongard
143
4
0
12 Apr 2018
On the Effectiveness of Simple Success-Based Parameter Selection
  Mechanisms for Two Classical Discrete Black-Box Optimization Benchmark
  Problems
On the Effectiveness of Simple Success-Based Parameter Selection Mechanisms for Two Classical Discrete Black-Box Optimization Benchmark Problems
Carola Doerr
Markus Wagner
103
15
0
04 Mar 2018
Probabilistic Tools for the Analysis of Randomized Optimization
  Heuristics
Probabilistic Tools for the Analysis of Randomized Optimization Heuristics
Benjamin Doerr
276
187
0
20 Jan 2018
Better Runtime Guarantees Via Stochastic Domination
Better Runtime Guarantees Via Stochastic Domination
Benjamin Doerr
208
64
0
13 Jan 2018
Drift Analysis
Drift Analysis
Johannes Lengler
101
16
0
04 Dec 2017
The (1+$λ$) Evolutionary Algorithm with Self-Adjusting Mutation
  Rate
The (1+λλλ) Evolutionary Algorithm with Self-Adjusting Mutation Rate
Benjamin Doerr
C. Gießen
Carsten Witt
Jing Yang
155
77
0
07 Apr 2017
Level-based Analysis of Genetic Algorithms and other Search Processes
Level-based Analysis of Genetic Algorithms and other Search ProcessesbioRxiv (bioRxiv), 2014
Dogan Corus
D. Dang
A. Eremeev
Per Kristian Lehre
113
154
0
29 Jul 2014
1