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Runtime Analysis of the SMS-EMOA for Many-Objective Optimization

Runtime Analysis of the SMS-EMOA for Many-Objective Optimization

16 December 2023
Weijie Zheng
Benjamin Doerr
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Papers citing "Runtime Analysis of the SMS-EMOA for Many-Objective Optimization"

13 / 13 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
22
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
26
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
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
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
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
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
22
35
0
15 Nov 2022
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