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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)

15 November 2022
Simon Wietheger
Benjamin Doerr
ArXivPDFHTML

Papers citing "A Mathematical Runtime Analysis of the Non-dominated Sorting Genetic Algorithm III (NSGA-III)"

23 / 23 papers shown
Title
Tight Runtime Guarantees From Understanding the Population Dynamics of the GSEMO Multi-Objective Evolutionary Algorithm
Tight Runtime Guarantees From Understanding the Population Dynamics of the GSEMO Multi-Objective Evolutionary Algorithm
Benjamin Doerr
Martin S. Krejca
Andre Opris
24
0
0
02 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
26
0
0
02 May 2025
Proven Approximation Guarantees in Multi-Objective Optimization: SPEA2 Beats NSGA-II
Proven Approximation Guarantees in Multi-Objective Optimization: SPEA2 Beats NSGA-II
Yasser Alghouass
Benjamin Doerr
Martin S. Krejca
Mohammed Lagmah
35
0
0
02 May 2025
The First Theoretical Approximation Guarantees for the Non-Dominated Sorting Genetic Algorithm III (NSGA-III)
The First Theoretical Approximation Guarantees for the Non-Dominated Sorting Genetic Algorithm III (NSGA-III)
Renzhong Deng
Weijie Zheng
Benjamin Doerr
28
0
0
30 Apr 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
34
0
0
24 Mar 2025
Theoretical Advantage of Multiobjective Evolutionary Algorithms for
  Problems with Different Degrees of Conflict
Theoretical Advantage of Multiobjective Evolutionary Algorithms for Problems with Different Degrees of Conflict
Weijie Zheng
22
0
0
08 Aug 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
35
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
25
2
0
22 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
31
2
0
02 May 2024
A Survey of Decomposition-Based Evolutionary Multi-Objective
  Optimization: Part I-Past and Future
A Survey of Decomposition-Based Evolutionary Multi-Objective Optimization: Part I-Past and Future
Ke Li
26
0
0
22 Apr 2024
Near-Tight Runtime Guarantees for Many-Objective Evolutionary Algorithms
Near-Tight Runtime Guarantees for Many-Objective Evolutionary Algorithms
Simon Wietheger
Benjamin Doerr
26
7
0
19 Apr 2024
Runtime Analyses of NSGA-III on Many-Objective Problems
Runtime Analyses of NSGA-III on Many-Objective Problems
Andre Opris
D. Dang
Frank Neumann
Dirk Sudholt
24
17
0
17 Apr 2024
A Block-Coordinate Descent EMO Algorithm: Theoretical and Empirical
  Analysis
A Block-Coordinate Descent EMO Algorithm: Theoretical and Empirical Analysis
Benjamin Doerr
Joshua Knowles
Aneta Neumann
Frank Neumann
26
0
0
04 Apr 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
27
18
0
16 Dec 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
31
4
0
12 Oct 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
13
33
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
40
32
0
22 May 2023
Runtime Analyses of Multi-Objective Evolutionary Algorithms in the
  Presence of Noise
Runtime Analyses of Multi-Objective Evolutionary Algorithms in the Presence of Noise
Matthieu Dinot
Benjamin Doerr
Ulysse Hennebelle
S. Will
24
13
0
17 May 2023
Can Evolutionary Clustering Have Theoretical Guarantees?
Can Evolutionary Clustering Have Theoretical Guarantees?
Chao Qian
24
3
0
04 Dec 2022
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
19
27
0
23 Nov 2022
Runtime Analysis for the NSGA-II: Provable Speed-Ups From Crossover
Runtime Analysis for the NSGA-II: Provable Speed-Ups From Crossover
Benjamin Doerr
Zhongdi Qu
13
43
0
18 Aug 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
18
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
21
39
0
16 Dec 2021
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