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Significance-based Estimation-of-Distribution Algorithms
v1v2v3 (latest)

Significance-based Estimation-of-Distribution Algorithms

10 July 2018
Benjamin Doerr
Martin S. Krejca
ArXiv (abs)PDFHTML

Papers citing "Significance-based Estimation-of-Distribution Algorithms"

18 / 18 papers shown
Faster Optimization Through Genetic Drift
Faster Optimization Through Genetic Drift
Cella Florescu
Marc Kaufmann
Johannes Lengler
Ulysse Schaller
237
0
0
18 Apr 2024
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
268
0
0
08 May 2023
Estimation-of-Distribution Algorithms for Multi-Valued Decision
  Variables
Estimation-of-Distribution Algorithms for Multi-Valued Decision VariablesAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2023
Firas Ben Jedidia
Benjamin Doerr
Martin S. Krejca
277
11
0
28 Feb 2023
Fourier Analysis Meets Runtime Analysis: Precise Runtimes on Plateaus
Fourier Analysis Meets Runtime Analysis: Precise Runtimes on PlateausAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2023
Benjamin Doerr
A. J. Kelley
356
7
0
16 Feb 2023
From Understanding Genetic Drift to a Smart-Restart Mechanism for
  Estimation-of-Distribution Algorithms
From Understanding Genetic Drift to a Smart-Restart Mechanism for Estimation-of-Distribution AlgorithmsJournal of machine learning research (JMLR), 2022
Weijie Zheng
Benjamin Doerr
358
5
0
18 Jun 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
501
20
0
14 Sep 2021
The Univariate Marginal Distribution Algorithm Copes Well With Deception
  and Epistasis
The Univariate Marginal Distribution Algorithm Copes Well With Deception and EpistasisEvolutionary Computation (Evol. Comput.), 2020
Benjamin Doerr
Martin S. Krejca
237
34
0
16 Jul 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
392
41
0
30 Jun 2020
From Understanding Genetic Drift to a Smart-Restart Parameter-less
  Compact Genetic Algorithm
From Understanding Genetic Drift to a Smart-Restart Parameter-less Compact Genetic AlgorithmAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2020
Benjamin Doerr
Weijie Zheng
291
22
0
15 Apr 2020
Self-Adjusting Evolutionary Algorithms for Multimodal Optimization
Self-Adjusting Evolutionary Algorithms for Multimodal Optimization
A. Rajabi
Carsten Witt
381
68
0
07 Apr 2020
On the Limitations of the Univariate Marginal Distribution Algorithm to
  Deception and Where Bivariate EDAs might help
On the Limitations of the Univariate Marginal Distribution Algorithm to Deception and Where Bivariate EDAs might helpFoundations of Genetic Algorithms (FOGA), 2019
Per Kristian Lehre
P. Nguyen
202
34
0
29 Jul 2019
Runtime Analysis of the Univariate Marginal Distribution Algorithm under
  Low Selective Pressure and Prior Noise
Runtime Analysis of the Univariate Marginal Distribution Algorithm under Low Selective Pressure and Prior Noise
Per Kristian Lehre
P. Nguyen
225
15
0
19 Apr 2019
An Exponential Lower Bound for the Runtime of the cGA on Jump Functions
An Exponential Lower Bound for the Runtime of the cGA on Jump Functions
Benjamin Doerr
224
58
0
17 Apr 2019
A Tight Runtime Analysis for the cGA on Jump Functions---EDAs Can Cross
  Fitness Valleys at No Extra Cost
A Tight Runtime Analysis for the cGA on Jump Functions---EDAs Can Cross Fitness Valleys at No Extra Cost
Benjamin Doerr
152
36
0
26 Mar 2019
Working Principles of Binary Differential Evolution
Working Principles of Binary Differential Evolution
Benjamin Doerr
Weijie Zheng
138
32
0
09 Dec 2018
Level-Based Analysis of the Univariate Marginal Distribution Algorithm
Level-Based Analysis of the Univariate Marginal Distribution Algorithm
D. Dang
Per Kristian Lehre
P. Nguyen
192
38
0
26 Jul 2018
Theory of Estimation-of-Distribution Algorithms
Theory of Estimation-of-Distribution Algorithms
Martin S. Krejca
Carsten Witt
211
55
0
14 Jun 2018
Simple Hyper-heuristics Control the Neighbourhood Size of Randomised
  Local Search Optimally for LeadingOnes
Simple Hyper-heuristics Control the Neighbourhood Size of Randomised Local Search Optimally for LeadingOnes
Andrei Lissovoi
P. S. Oliveto
J. A. Warwicker
299
2
0
23 Jan 2018
1
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