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Maximizing Submodular or Monotone Approximately Submodular Functions by
  Multi-objective Evolutionary Algorithms
v1v2 (latest)

Maximizing Submodular or Monotone Approximately Submodular Functions by Multi-objective Evolutionary Algorithms

20 November 2017
Chao Qian
Yang Yu
K. Tang
Xin Yao
Zhi Zhou
ArXiv (abs)PDFHTML

Papers citing "Maximizing Submodular or Monotone Approximately Submodular Functions by Multi-objective Evolutionary Algorithms"

19 / 19 papers shown
Title
Pareto Set Learning for Multi-Objective Reinforcement Learning
Pareto Set Learning for Multi-Objective Reinforcement Learning
Erlong Liu
Yu-Chang Wu
Xiaobin Huang
Chengrui Gao
Ren-Jian Wang
Ke Xue
Chao Qian
OffRL
235
2
0
12 Jan 2025
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
44
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
Practical Parallel Algorithms for Non-Monotone Submodular Maximization
Practical Parallel Algorithms for Non-Monotone Submodular Maximization
Shuang Cui
Kai Han
Jing Tang
He Huang
Xueying Li
Aakas Zhiyuli
Han Li
54
2
0
21 Aug 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
Can Evolutionary Clustering Have Theoretical Guarantees?
Can Evolutionary Clustering Have Theoretical Guarantees?
Chao Qian
63
3
0
04 Dec 2022
Reliable Robustness Evaluation via Automatically Constructed Attack
  Ensembles
Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles
Shengcai Liu
Fu Peng
Jiaheng Zhang
AAML
67
11
0
23 Nov 2022
Evolution is Still Good: Theoretical Analysis of Evolutionary Algorithms
  on General Cover Problems
Evolution is Still Good: Theoretical Analysis of Evolutionary Algorithms on General Cover Problems
Yaoyao Zhang
Chaojie Zhu
Shao-Hua Tang
Ringli Ran
D. Du
Zhao Zhang
11
0
0
03 Oct 2022
From Understanding the Population Dynamics of the NSGA-II to the First
  Proven Lower Bounds
From Understanding the Population Dynamics of the NSGA-II to the First Proven Lower Bounds
Benjamin Doerr
Zhongdi Qu
98
38
0
28 Sep 2022
Robust Subset Selection by Greedy and Evolutionary Pareto Optimization
Robust Subset Selection by Greedy and Evolutionary Pareto Optimization
Chao Bian
Yawen Zhou
Chao Qian
43
5
0
03 May 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
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
32
14
0
18 Oct 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
54
13
0
20 Apr 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
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
Maximizing Submodular or Monotone Functions under Partition Matroid
  Constraints by Multi-objective Evolutionary Algorithms
Maximizing Submodular or Monotone Functions under Partition Matroid Constraints by Multi-objective Evolutionary Algorithms
A. Do
Frank Neumann
82
9
0
23 Jun 2020
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
55
23
0
12 Oct 2019
Pareto Optimization for Subset Selection with Dynamic Cost Constraints
Pareto Optimization for Subset Selection with Dynamic Cost Constraints
Vahid Roostapour
Aneta Neumann
Frank Neumann
Tobias Friedrich
47
73
0
14 Nov 2018
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