Multi-objective Evolutionary Algorithms are Still Good: Maximizing
Monotone Approximately Submodular Minus Modular Functions

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Multi-objective Evolutionary Algorithms are Still Good: Maximizing Monotone Approximately Submodular Minus Modular Functions

12 October 2019

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Papers citing "Multi-objective Evolutionary Algorithms are Still Good: Maximizing Monotone Approximately Submodular Minus Modular Functions"

6 / 6 papers shown

Title
Biased Pareto Optimization for Subset Selection with Dynamic Cost Constraints Dan-Xuan Liu Chao Qian 33 1 0 18 Jun 2024
Peptide Vaccine Design by Evolutionary Multi-Objective Optimization Dan-Xuan Liu Yi-Heng Xu Chao Qian 54 2 0 09 Jun 2024
Migrant Resettlement by Evolutionary Multi-objective Optimization Danqin Liu Yu-Ran Gu Chao Qian Xin Mu Ke Tang 64 0 0 13 Oct 2023
Result Diversification by Multi-objective Evolutionary Algorithms with Theoretical Guarantees Chao Qian Danqin Liu Zhi Zhou 30 14 0 18 Oct 2021
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 Cost Constraints Vahid Roostapour Aneta Neumann Frank Neumann Tobias Friedrich 47 73 0 14 Nov 2018