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Stagnation Detection with Randomized Local Search

Stagnation Detection with Randomized Local Search

28 January 2021
A. Rajabi
Carsten Witt
ArXivPDFHTML

Papers citing "Stagnation Detection with Randomized Local Search"

17 / 17 papers shown
Title
Hyper-Heuristics Can Profit From Global Variation Operators
Hyper-Heuristics Can Profit From Global Variation Operators
Benjamin Doerr
J. Lutzeyer
25
1
0
19 Jul 2024
A Flexible Evolutionary Algorithm With Dynamic Mutation Rate Archive
A Flexible Evolutionary Algorithm With Dynamic Mutation Rate Archive
Martin S. Krejca
Carsten Witt
27
1
0
05 Apr 2024
How Well Does the Metropolis Algorithm Cope With Local Optima?
How Well Does the Metropolis Algorithm Cope With Local Optima?
Benjamin Doerr
Taha El Ghazi El Houssaini
A. Rajabi
Carsten Wit
21
6
0
21 Apr 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
23
5
0
20 Apr 2023
Privacy against Real-Time Speech Emotion Detection via Acoustic
  Adversarial Evasion of Machine Learning
Privacy against Real-Time Speech Emotion Detection via Acoustic Adversarial Evasion of Machine Learning
Brian Testa
Yi Xiao
Harshit Sharma
Avery Gump
Asif Salekin
AAML
40
7
0
17 Nov 2022
Runtime Analysis for Permutation-based Evolutionary Algorithms
Runtime Analysis for Permutation-based Evolutionary Algorithms
Benjamin Doerr
Yassine Ghannane
Marouane Ibn Brahim
21
3
0
05 Jul 2022
A First Runtime Analysis of the NSGA-II on a Multimodal Problem
A First Runtime Analysis of the NSGA-II on a Multimodal Problem
Benjamin Doerr
Zhongdi Qu
22
66
0
28 Apr 2022
Hard Problems are Easier for Success-based Parameter Control
Hard Problems are Easier for Success-based Parameter Control
Mario Alejandro Hevia Fajardo
Dirk Sudholt
8
6
0
12 Apr 2022
Stagnation Detection Meets Fast Mutation
Stagnation Detection Meets Fast Mutation
Benjamin Doerr
A. Rajabi
17
21
0
28 Jan 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
13
17
0
14 Sep 2021
An Extended Jump Functions Benchmark for the Analysis of Randomized
  Search Heuristics
An Extended Jump Functions Benchmark for the Analysis of Randomized Search Heuristics
Henry Bambury
Antoine Bultel
Benjamin Doerr
11
11
0
07 May 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
19
31
0
14 Apr 2021
Self-Adjusting Population Sizes for Non-Elitist Evolutionary Algorithms:
  Why Success Rates Matter
Self-Adjusting Population Sizes for Non-Elitist Evolutionary Algorithms: Why Success Rates Matter
Mario Alejandro Hevia Fajardo
Dirk Sudholt
8
18
0
12 Apr 2021
Stagnation Detection in Highly Multimodal Fitness Landscapes
Stagnation Detection in Highly Multimodal Fitness Landscapes
A. Rajabi
Carsten Witt
11
28
0
09 Apr 2021
Lower Bounds from Fitness Levels Made Easy
Lower Bounds from Fitness Levels Made Easy
Benjamin Doerr
Timo Kotzing
16
20
0
07 Apr 2021
A Rigorous Runtime Analysis of the $(1 + (λ, λ))$ GA on Jump
  Functions
A Rigorous Runtime Analysis of the (1+(λ,λ))(1 + (λ, λ))(1+(λ,λ)) GA on Jump Functions
Denis Antipov
Benjamin Doerr
V. Karavaev
14
16
0
14 Apr 2020
Self-Adjusting Evolutionary Algorithms for Multimodal Optimization
Self-Adjusting Evolutionary Algorithms for Multimodal Optimization
A. Rajabi
Carsten Witt
14
63
0
07 Apr 2020
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