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

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2004.06702
  4. Cited By
A Rigorous Runtime Analysis of the $(1 + (λ, λ))$ GA on Jump
  Functions
v1v2v3v4 (latest)

A Rigorous Runtime Analysis of the (1+(λ,λ))(1 + (λ, λ))(1+(λ,λ)) GA on Jump Functions

14 April 2020
Denis Antipov
Benjamin Doerr
V. Karavaev
ArXiv (abs)PDFHTML

Papers citing "A Rigorous Runtime Analysis of the $(1 + (λ, λ))$ GA on Jump Functions"

11 / 11 papers shown
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
263
0
0
08 May 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 CliffsAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2023
Benjamin Doerr
Arthur Dremaux
J. Lutzeyer
Aurélien Stumpf
367
8
0
20 Apr 2023
Lasting Diversity and Superior Runtime Guarantees for the $(μ+1)$
  Genetic Algorithm
Lasting Diversity and Superior Runtime Guarantees for the (μ+1)(μ+1)(μ+1) Genetic Algorithm
Benjamin Doerr
Aymen Echarghaoui
Mohammed Jamal
Martin S. Krejca
222
10
0
24 Feb 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
341
8
0
23 Feb 2023
Runtime Analysis for the NSGA-II: Provable Speed-Ups From Crossover
Runtime Analysis for the NSGA-II: Provable Speed-Ups From CrossoverAAAI Conference on Artificial Intelligence (AAAI), 2022
Benjamin Doerr
Zhongdi Qu
260
61
0
18 Aug 2022
Runtime Analysis for Permutation-based Evolutionary Algorithms
Runtime Analysis for Permutation-based Evolutionary Algorithms
Benjamin Doerr
Yassine Ghannane
Marouane Ibn Brahim
527
9
0
05 Jul 2022
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
348
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
483
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
381
33
0
14 Apr 2021
Theoretical Analyses of Multiobjective Evolutionary Algorithms on
  Multimodal Objectives
Theoretical Analyses of Multiobjective Evolutionary Algorithms on Multimodal ObjectivesEvolutionary Computation (Evol. Comput.), 2020
Weijie Zheng
Benjamin Doerr
369
28
0
14 Dec 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
200
22
0
22 Jun 2020
1
Page 1 of 1