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Runtime Analysis for Self-adaptive Mutation Rates

Runtime Analysis for Self-adaptive Mutation Rates

30 November 2018
Benjamin Doerr
Carsten Witt
Jing Yang
ArXiv (abs)PDFHTML

Papers citing "Runtime Analysis for Self-adaptive Mutation Rates"

15 / 15 papers shown
Title
A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation
A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation
Liu-Yue Luo
Zhi-Hui Zhan
Kay Chen Tan
Jun Zhang
74
0
0
07 May 2025
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
91
6
0
14 Apr 2022
Choosing the Right Algorithm With Hints From Complexity Theory
Choosing the Right Algorithm With Hints From Complexity Theory
Shouda Wang
Weijie Zheng
Benjamin Doerr
119
17
0
14 Sep 2021
Lazy Parameter Tuning and Control: Choosing All Parameters Randomly From
  a Power-Law Distribution
Lazy Parameter Tuning and Control: Choosing All Parameters Randomly From a Power-Law Distribution
Denis Antipov
M. Buzdalov
Benjamin Doerr
131
31
0
14 Apr 2021
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
64
34
0
30 Jun 2020
Evolutionary Algorithms with Self-adjusting Asymmetric Mutation
Evolutionary Algorithms with Self-adjusting Asymmetric Mutation
A. Rajabi
Carsten Witt
91
7
0
16 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
47
35
0
05 Jun 2020
Self-Adjusting Evolutionary Algorithms for Multimodal Optimization
Self-Adjusting Evolutionary Algorithms for Multimodal Optimization
A. Rajabi
Carsten Witt
91
63
0
07 Apr 2020
Does Comma Selection Help To Cope With Local Optima
Does Comma Selection Help To Cope With Local Optima
Benjamin Doerr
57
53
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 Structure
B. Case
Per Kristian Lehre
35
31
0
01 Apr 2020
Maximizing Drift is Not Optimal for Solving OneMax
Maximizing Drift is Not Optimal for Solving OneMax
Nathan Buskulic
Carola Doerr
50
23
0
16 Apr 2019
Self-Adjusting Mutation Rates with Provably Optimal Success Rules
Self-Adjusting Mutation Rates with Provably Optimal Success Rules
Benjamin Doerr
Carola Doerr
Johannes Lengler
150
50
0
07 Feb 2019
Significance-based Estimation-of-Distribution Algorithms
Significance-based Estimation-of-Distribution Algorithms
Benjamin Doerr
Martin S. Krejca
70
45
0
10 Jul 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
56
75
0
16 Apr 2018
Probabilistic Tools for the Analysis of Randomized Optimization
  Heuristics
Probabilistic Tools for the Analysis of Randomized Optimization Heuristics
Benjamin Doerr
70
173
0
20 Jan 2018
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