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Runtime Analysis of RLS and the (1+1) EA for the Chance-constrained
  Knapsack Problem with Correlated Uniform Weights

Runtime Analysis of RLS and the (1+1) EA for the Chance-constrained Knapsack Problem with Correlated Uniform Weights

10 February 2021
Yue Xie
Aneta Neumann
Frank Neumann
Andrew M. Sutton
ArXiv (abs)PDFHTML

Papers citing "Runtime Analysis of RLS and the (1+1) EA for the Chance-constrained Knapsack Problem with Correlated Uniform Weights"

14 / 14 papers shown
Title
Weighted-Scenario Optimisation for the Chance Constrained Travelling Thief Problem
Weighted-Scenario Optimisation for the Chance Constrained Travelling Thief Problem
Thilina Pathirage Don
Aneta Neumann
Frank Neumann
60
0
0
01 May 2025
Evolving Reliable Differentiating Constraints for the Chance-constrained
  Maximum Coverage Problem
Evolving Reliable Differentiating Constraints for the Chance-constrained Maximum Coverage Problem
Saba Sadeghi Ahouei
Jacob De Nobel
Aneta Neumann
Thomas Bäck
Frank Neumann
AI4TS
65
4
0
29 May 2024
Sampling-based Pareto Optimization for Chance-constrained Monotone
  Submodular Problems
Sampling-based Pareto Optimization for Chance-constrained Monotone Submodular Problems
Xiankun Yan
Aneta Neumann
Frank Neumann
63
5
0
18 Apr 2024
Using 3-Objective Evolutionary Algorithms for the Dynamic Chance
  Constrained Knapsack Problem
Using 3-Objective Evolutionary Algorithms for the Dynamic Chance Constrained Knapsack Problem
Ishara Hewa Pathiranage
Frank Neumann
Denis Antipov
Aneta Neumann
55
6
0
09 Apr 2024
Optimizing Chance-Constrained Submodular Problems with Variable
  Uncertainties
Optimizing Chance-Constrained Submodular Problems with Variable Uncertainties
Xiankun Yan
A. Do
Feng Shi
Xiaoyu Qin
Frank Neumann
49
4
0
23 Sep 2023
Chance-Constrained Multiple-Choice Knapsack Problem: Model, Algorithms,
  and Applications
Chance-Constrained Multiple-Choice Knapsack Problem: Model, Algorithms, and Applications
Xuanfeng Li
Shengcai Liu
J. Wang
Xiao Chen
Yew-Soon Ong
Jiaheng Zhang
51
5
0
26 Jun 2023
Analysis of the (1+1) EA on LeadingOnes with Constraints
Analysis of the (1+1) EA on LeadingOnes with Constraints
Tobias Friedrich
Timo Kotzing
Aneta Neumann
Frank Neumann
Aishwarya Radhakrishnan
155
1
0
29 May 2023
3-Objective Pareto Optimization for Problems with Chance Constraints
3-Objective Pareto Optimization for Problems with Chance Constraints
Frank Neumann
Carsten Witt
34
5
0
18 Apr 2023
Evolutionary Multi-Objective Algorithms for the Knapsack Problems with
  Stochastic Profits
Evolutionary Multi-Objective Algorithms for the Knapsack Problems with Stochastic Profits
Kokila K. Perera
Aneta Neumann
Frank Neumann
115
0
0
03 Mar 2023
Runtime Performance of Evolutionary Algorithms for the Chance-constrained Makespan Scheduling Problem
Runtime Performance of Evolutionary Algorithms for the Chance-constrained Makespan Scheduling Problem
Feng Shi
Xiankun Yan
Frank Neumann
Frank Neumann
134
0
0
22 Dec 2022
Runtime Analysis of the (1+1) EA on Weighted Sums of Transformed Linear
  Functions
Runtime Analysis of the (1+1) EA on Weighted Sums of Transformed Linear Functions
Frank Neumann
Carsten Witt
127
2
0
11 Aug 2022
Evolutionary Algorithms for Limiting the Effect of Uncertainty for the
  Knapsack Problem with Stochastic Profits
Evolutionary Algorithms for Limiting the Effect of Uncertainty for the Knapsack Problem with Stochastic Profits
Aneta Neumann
Yue Xie
Frank Neumann
73
15
0
12 Apr 2022
Runtime Analysis of Single- and Multi-Objective Evolutionary Algorithms
  for Chance Constrained Optimization Problems with Normally Distributed Random
  Variables
Runtime Analysis of Single- and Multi-Objective Evolutionary Algorithms for Chance Constrained Optimization Problems with Normally Distributed Random Variables
Frank Neumann
Carsten Witt
78
14
0
13 Sep 2021
A Survey on Recent Progress in the Theory of Evolutionary Algorithms for
  Discrete Optimization
A Survey on Recent Progress in the Theory of Evolutionary Algorithms for Discrete Optimization
Benjamin Doerr
Frank Neumann
67
34
0
30 Jun 2020
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