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Pareto Optimization for Subset Selection with Dynamic Cost Constraints
v1v2v3 (latest)

Pareto Optimization for Subset Selection with Dynamic Cost Constraints

14 November 2018
Vahid Roostapour
Aneta Neumann
Frank Neumann
Tobias Friedrich
ArXiv (abs)PDFHTML

Papers citing "Pareto Optimization for Subset Selection with Dynamic Cost Constraints"

37 / 37 papers shown
Title
Pareto Data Framework: Steps Towards Resource-Efficient Decision Making
  Using Minimum Viable Data (MVD)
Pareto Data Framework: Steps Towards Resource-Efficient Decision Making Using Minimum Viable Data (MVD)
Tashfain Ahmed
Josh Siegel
48
1
0
18 Sep 2024
Sliding Window Bi-Objective Evolutionary Algorithms for Optimizing
  Chance-Constrained Monotone Submodular Functions
Sliding Window Bi-Objective Evolutionary Algorithms for Optimizing Chance-Constrained Monotone Submodular Functions
Xiankun Yan
Anneta Neumann
Frank Neumann
47
1
0
13 Jul 2024
Archive-based Single-Objective Evolutionary Algorithms for Submodular
  Optimization
Archive-based Single-Objective Evolutionary Algorithms for Submodular Optimization
Frank Neumann
Gunter Rudolph
35
0
0
19 Jun 2024
Biased Pareto Optimization for Subset Selection with Dynamic Cost
  Constraints
Biased Pareto Optimization for Subset Selection with Dynamic Cost Constraints
Dan-Xuan Liu
Chao Qian
38
1
0
18 Jun 2024
Detection-Rate-Emphasized Multi-objective Evolutionary Feature Selection
  for Network Intrusion Detection
Detection-Rate-Emphasized Multi-objective Evolutionary Feature Selection for Network Intrusion Detection
Zi-Hang Cheng
Haopu Shang
Chao Qian
47
1
0
13 Jun 2024
Peptide Vaccine Design by Evolutionary Multi-Objective Optimization
Peptide Vaccine Design by Evolutionary Multi-Objective Optimization
Dan-Xuan Liu
Yi-Heng Xu
Chao Qian
54
2
0
09 Jun 2024
Sliding Window 3-Objective Pareto Optimization for Problems with Chance
  Constraints
Sliding Window 3-Objective Pareto Optimization for Problems with Chance Constraints
Frank Neumann
Carsten Witt
26
2
0
07 Jun 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
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
110
0
0
04 Apr 2024
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
64
0
0
13 Oct 2023
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
42
4
0
23 Sep 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
57
34
0
05 Jun 2023
On the Impact of Operators and Populations within Evolutionary
  Algorithms for the Dynamic Weighted Traveling Salesperson Problem
On the Impact of Operators and Populations within Evolutionary Algorithms for the Dynamic Weighted Traveling Salesperson Problem
Jakob Bossek
Aneta Neumann
Frank Neumann
44
0
0
30 May 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
150
1
0
29 May 2023
Fast Pareto Optimization Using Sliding Window Selection
Fast Pareto Optimization Using Sliding Window Selection
Frank Neumann
Carsten Witt
33
5
0
11 May 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
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
88
10
0
05 Mar 2022
Biased Hypothesis Formation From Projection Pursuit
Biased Hypothesis Formation From Projection Pursuit
John Patterson
Chris S. Avery
Tyler Grear
D. Jacobs
15
3
0
03 Jan 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
120
43
0
16 Dec 2021
Result Diversification by Multi-objective Evolutionary Algorithms with
  Theoretical Guarantees
Result Diversification by Multi-objective Evolutionary Algorithms with Theoretical Guarantees
Chao Qian
Danqin Liu
Zhi Zhou
38
14
0
18 Oct 2021
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
69
14
0
13 Sep 2021
Time Complexity Analysis of Randomized Search Heuristics for the Dynamic
  Graph Coloring Problem
Time Complexity Analysis of Randomized Search Heuristics for the Dynamic Graph Coloring Problem
Jakob Bossek
Frank Neumann
Pan Peng
Dirk Sudholt
15
3
0
26 May 2021
Multi-objective Evolutionary Algorithms are Generally Good: Maximizing
  Monotone Submodular Functions over Sequences
Multi-objective Evolutionary Algorithms are Generally Good: Maximizing Monotone Submodular Functions over Sequences
Chao Qian
Danyang Liu
Chao Feng
K. Tang
57
13
0
20 Apr 2021
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
Yue Xie
Aneta Neumann
Frank Neumann
Andrew M. Sutton
51
19
0
10 Feb 2021
Pareto Optimization for Subset Selection with Dynamic Partition Matroid
  Constraints
Pareto Optimization for Subset Selection with Dynamic Partition Matroid Constraints
A. Do
Frank Neumann
66
8
0
16 Dec 2020
Theoretical Analyses of Multiobjective Evolutionary Algorithms on
  Multimodal Objectives
Theoretical Analyses of Multiobjective Evolutionary Algorithms on Multimodal Objectives
Weijie Zheng
Benjamin Doerr
120
25
0
14 Dec 2020
Evolutionary Diversity Optimization and the Minimum Spanning Tree
  Problem
Evolutionary Diversity Optimization and the Minimum Spanning Tree Problem
Jakob Bossek
Frank Neumann
41
25
0
21 Oct 2020
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
64
34
0
30 Jun 2020
More Effective Randomized Search Heuristics for Graph Coloring Through
  Dynamic Optimization
More Effective Randomized Search Heuristics for Graph Coloring Through Dynamic Optimization
Jakob Bossek
Frank Neumann
Pan Peng
Dirk Sudholt
24
1
0
28 May 2020
Single- and Multi-Objective Evolutionary Algorithms for the Knapsack
  Problem with Dynamically Changing Constraints
Single- and Multi-Objective Evolutionary Algorithms for the Knapsack Problem with Dynamically Changing Constraints
Vahid Roostapour
Aneta Neumann
Frank Neumann
13
5
0
27 Apr 2020
Analysis of Evolutionary Algorithms on Fitness Function with
  Time-linkage Property
Analysis of Evolutionary Algorithms on Fitness Function with Time-linkage Property
Weijie Zheng
Huanhuan Chen
Xin Yao
45
14
0
26 Apr 2020
The Dynamic Travelling Thief Problem: Benchmarks and Performance of
  Evolutionary Algorithms
The Dynamic Travelling Thief Problem: Benchmarks and Performance of Evolutionary Algorithms
Ragav Sachdeva
Frank Neumann
Markus Wagner
37
8
0
25 Apr 2020
Evolutionary Bi-objective Optimization for the Dynamic
  Chance-Constrained Knapsack Problem Based on Tail Bound Objectives
Evolutionary Bi-objective Optimization for the Dynamic Chance-Constrained Knapsack Problem Based on Tail Bound Objectives
Hirad Assimi
Oscar Harper
Yue Xie
Aneta Neumann
Frank Neumann
41
20
0
17 Feb 2020
Optimization of Chance-Constrained Submodular Functions
Optimization of Chance-Constrained Submodular Functions
Benjamin Doerr
Carola Doerr
Aneta Neumann
Frank Neumann
Andrew M. Sutton
53
32
0
26 Nov 2019
Non-Monotone Submodular Maximization with Multiple Knapsacks in Static
  and Dynamic Settings
Non-Monotone Submodular Maximization with Multiple Knapsacks in Static and Dynamic Settings
Vanja Doskoc
Tobias Friedrich
Andreas Göbel
Frank Neumann
Aneta Neumann
Francesco Quinzan
66
3
0
15 Nov 2019
Multi-objective Evolutionary Algorithms are Still Good: Maximizing
  Monotone Approximately Submodular Minus Modular Functions
Multi-objective Evolutionary Algorithms are Still Good: Maximizing Monotone Approximately Submodular Minus Modular Functions
Chao Qian
58
23
0
12 Oct 2019
Fast Re-Optimization via Structural Diversity
Fast Re-Optimization via Structural Diversity
Benjamin Doerr
Carola Doerr
Frank Neumann
64
14
0
01 Feb 2019
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