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Runtime Analysis of the $(1+(λ,λ))$ Genetic Algorithm on
  Random Satisfiable 3-CNF Formulas

Runtime Analysis of the (1+(λ,λ))(1+(λ,λ))(1+(λ,λ)) Genetic Algorithm on Random Satisfiable 3-CNF Formulas

14 April 2017
M. Buzdalov
Benjamin Doerr
ArXiv (abs)PDFHTML

Papers citing "Runtime Analysis of the $(1+(λ,λ))$ Genetic Algorithm on Random Satisfiable 3-CNF Formulas"

22 / 22 papers shown
Multi-parameter Control for the $(1+(λ,λ))$-GA on OneMax via Deep Reinforcement Learning
Multi-parameter Control for the (1+(λ,λ))(1+(λ,λ))(1+(λ,λ))-GA on OneMax via Deep Reinforcement LearningFoundations of Genetic Algorithms (FOGA), 2025
Tai Nguyen
Phong Le
Carola Doerr
Nguyen Dang
449
0
0
19 May 2025
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
224
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
268
0
0
08 May 2023
Using Automated Algorithm Configuration for Parameter Control
Using Automated Algorithm Configuration for Parameter ControlFoundations of Genetic Algorithms (FOGA), 2023
D. Chen
M. Buzdalov
Carola Doerr
Nguyen Dang
342
9
0
23 Feb 2023
The $(1+(λ,λ))$ Global SEMO Algorithm
The (1+(λ,λ))(1+(λ,λ))(1+(λ,λ)) Global SEMO AlgorithmAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2022
Benjamin Doerr
O. Hadri
A. Pinard
200
12
0
07 Oct 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
498
20
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 DistributionAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2021
Denis Antipov
M. Buzdalov
Benjamin Doerr
389
33
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
389
41
0
30 Jun 2020
First Steps Towards a Runtime Analysis When Starting With a Good
  Solution
First Steps Towards a Runtime Analysis When Starting With a Good Solution
Denis Antipov
M. Buzdalov
Benjamin Doerr
215
23
0
22 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
175
36
0
05 Jun 2020
The $(1+(λ,λ))$ Genetic Algorithm for Permutations
The (1+(λ,λ))(1+(λ,λ))(1+(λ,λ)) Genetic Algorithm for Permutations
Anton O. Bassin
M. Buzdalov
286
18
0
18 Apr 2020
Fast Mutation in Crossover-based Algorithms
Fast Mutation in Crossover-based Algorithms
Denis Antipov
M. Buzdalov
Benjamin Doerr
323
37
0
14 Apr 2020
Merging variables: one technique of search in pseudo-Boolean
  optimization
Merging variables: one technique of search in pseudo-Boolean optimization
A. Semenov
75
5
0
02 Aug 2019
The 1/5-th Rule with Rollbacks: On Self-Adjustment of the Population
  Size in the $(1+(λ,λ))$ GA
The 1/5-th Rule with Rollbacks: On Self-Adjustment of the Population Size in the (1+(λ,λ))(1+(λ,λ))(1+(λ,λ)) GA
Anton O. Bassin
M. Buzdalov
96
13
0
15 Apr 2019
Black-Box Complexity of the Binary Value Function
Black-Box Complexity of the Binary Value Function
Nina Bulanova
M. Buzdalov
FAtt
141
0
0
09 Apr 2019
Hyper-Parameter Tuning for the (1+(λ,λ)) GA
Hyper-Parameter Tuning for the (1+(λ,λ)) GA
Nguyen Dang
Carola Doerr
194
23
0
09 Apr 2019
Parallel Black-Box Complexity with Tail Bounds
Parallel Black-Box Complexity with Tail BoundsIEEE Transactions on Evolutionary Computation (TEVC), 2019
Per Kristian Lehre
Dirk Sudholt
222
17
0
31 Jan 2019
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
351
79
0
16 Apr 2018
Better Fixed-Arity Unbiased Black-Box Algorithms
Better Fixed-Arity Unbiased Black-Box Algorithms
Nina Bulanova
M. Buzdalov
241
0
0
15 Apr 2018
Probabilistic Tools for the Analysis of Randomized Optimization
  Heuristics
Probabilistic Tools for the Analysis of Randomized Optimization Heuristics
Benjamin Doerr
448
194
0
20 Jan 2018
Complexity Theory for Discrete Black-Box Optimization Heuristics
Complexity Theory for Discrete Black-Box Optimization Heuristics
Carola Doerr
338
34
0
06 Jan 2018
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
235
77
0
07 Apr 2017
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