ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2208.08759
  4. Cited By
Runtime Analysis for the NSGA-II: Provable Speed-Ups From Crossover

Runtime Analysis for the NSGA-II: Provable Speed-Ups From Crossover

18 August 2022
Benjamin Doerr
Zhongdi Qu
ArXivPDFHTML

Papers citing "Runtime Analysis for the NSGA-II: Provable Speed-Ups From Crossover"

23 / 23 papers shown
Title
Scalable Speed-ups for the SMS-EMOA from a Simple Aging Strategy
Scalable Speed-ups for the SMS-EMOA from a Simple Aging Strategy
Mingfeng Li
Weijie Zheng
Benjamin Doerr
39
0
0
03 May 2025
A First Runtime Analysis of NSGA-III on a Many-Objective Multimodal Problem: Provable Exponential Speedup via Stochastic Population Update
A First Runtime Analysis of NSGA-III on a Many-Objective Multimodal Problem: Provable Exponential Speedup via Stochastic Population Update
Andre Opris
36
0
0
02 May 2025
Multi-objective Pseudo Boolean Functions in Runtime Analysis: A Review
Multi-objective Pseudo Boolean Functions in Runtime Analysis: A Review
Zimin Liang
Mingxing Li
41
0
0
24 Mar 2025
Unlocking the Potential of Global Human Expertise
Unlocking the Potential of Global Human Expertise
Elliot Meyerson
Olivier Francon
Darren Sargent
Babak Hodjat
Risto Miikkulainen
66
2
0
31 Oct 2024
Maintaining Diversity Provably Helps in Evolutionary Multimodal
  Optimization
Maintaining Diversity Provably Helps in Evolutionary Multimodal Optimization
Shengjie Ren
Zhijia Qiu
Chao Bian
Miqing Li
Chao Qian
54
5
0
04 Jun 2024
An Archive Can Bring Provable Speed-ups in Multi-Objective Evolutionary
  Algorithms
An Archive Can Bring Provable Speed-ups in Multi-Objective Evolutionary Algorithms
Chao Bian
Shengjie Ren
Miqing Li
Chao Qian
48
4
0
04 Jun 2024
Illustrating the Efficiency of Popular Evolutionary Multi-Objective
  Algorithms Using Runtime Analysis
Illustrating the Efficiency of Popular Evolutionary Multi-Objective Algorithms Using Runtime Analysis
D. Dang
Andre Opris
Dirk Sudholt
30
2
0
22 May 2024
Concentration Tail-Bound Analysis of Coevolutionary and Bandit Learning
  Algorithms
Concentration Tail-Bound Analysis of Coevolutionary and Bandit Learning Algorithms
Per Kristian Lehre
Shishen Lin
33
2
0
07 May 2024
Proven Runtime Guarantees for How the MOEA/D Computes the Pareto Front
  From the Subproblem Solutions
Proven Runtime Guarantees for How the MOEA/D Computes the Pareto Front From the Subproblem Solutions
Benjamin Doerr
Martin S. Krejca
Noé Weeks
47
2
0
02 May 2024
Runtime Analysis of the SMS-EMOA for Many-Objective Optimization
Runtime Analysis of the SMS-EMOA for Many-Objective Optimization
Weijie Zheng
Benjamin Doerr
46
18
0
16 Dec 2023
Migrant Resettlement by Evolutionary Multi-objective Optimization
Migrant Resettlement by Evolutionary Multi-objective Optimization
Danqin Liu
Yu-Ran Gu
Chao Qian
Xin Mu
Ke Tang
52
0
0
13 Oct 2023
Towards Running Time Analysis of Interactive Multi-objective
  Evolutionary Algorithms
Towards Running Time Analysis of Interactive Multi-objective Evolutionary Algorithms
Tianhao Lu
Chao Bian
Chao Qian
44
4
0
12 Oct 2023
Analysing the Robustness of NSGA-II under Noise
Analysing the Robustness of NSGA-II under Noise
D. Dang
Andre Opris
B. Salehi
Dirk Sudholt
33
23
0
07 Jun 2023
Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms
Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms
Chao Bian
Yawen Zhou
Mingxing Li
Chao Qian
32
34
0
05 Jun 2023
The First Proven Performance Guarantees for the Non-Dominated Sorting
  Genetic Algorithm II (NSGA-II) on a Combinatorial Optimization Problem
The First Proven Performance Guarantees for the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) on a Combinatorial Optimization Problem
Sacha Cerf
Benjamin Doerr
Benjamin Hebras
Yakob Kahane
Simon Wietheger
53
32
0
22 May 2023
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
40
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
39
5
0
20 Apr 2023
Crossover Can Guarantee Exponential Speed-Ups in Evolutionary
  Multi-Objective Optimisation
Crossover Can Guarantee Exponential Speed-Ups in Evolutionary Multi-Objective Optimisation
D. Dang
Andre Opris
Dirk Sudholt
57
15
0
31 Jan 2023
Runtime Analysis for the NSGA-II: Proving, Quantifying, and Explaining
  the Inefficiency For Many Objectives
Runtime Analysis for the NSGA-II: Proving, Quantifying, and Explaining the Inefficiency For Many Objectives
Weijie Zheng
Benjamin Doerr
29
28
0
23 Nov 2022
A Mathematical Runtime Analysis of the Non-dominated Sorting Genetic
  Algorithm III (NSGA-III)
A Mathematical Runtime Analysis of the Non-dominated Sorting Genetic Algorithm III (NSGA-III)
Simon Wietheger
Benjamin Doerr
46
35
0
15 Nov 2022
Approximation Guarantees for the Non-Dominated Sorting Genetic Algorithm
  II (NSGA-II)
Approximation Guarantees for the Non-Dominated Sorting Genetic Algorithm II (NSGA-II)
Weijie Zheng
Benjamin Doerr
34
8
0
05 Mar 2022
Mathematical Runtime Analysis for the Non-Dominated Sorting Genetic
  Algorithm II (NSGA-II)
Mathematical Runtime Analysis for the Non-Dominated Sorting Genetic Algorithm II (NSGA-II)
Weijie Zheng
Benjamin Doerr
40
39
0
16 Dec 2021
Theoretical Analyses of Multiobjective Evolutionary Algorithms on
  Multimodal Objectives
Theoretical Analyses of Multiobjective Evolutionary Algorithms on Multimodal Objectives
Weijie Zheng
Benjamin Doerr
50
25
0
14 Dec 2020
1