Result Diversification by Multi-objective Evolutionary Algorithms with
Theoretical Guarantees

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Result Diversification by Multi-objective Evolutionary Algorithms with Theoretical Guarantees

18 October 2021

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Papers citing "Result Diversification by Multi-objective Evolutionary Algorithms with Theoretical Guarantees"

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Title
Surrogate-Assisted Evolutionary Reinforcement Learning Based on Autoencoder and Hyperbolic Neural Network Bingdong Li Mei Jiang Hong Qian K. Tang W. Hong Peng Yang 111 0 0 26 May 2025
Peptide Vaccine Design by Evolutionary Multi-Objective Optimization Dan-Xuan Liu Yi-Heng Xu Chao Qian 54 2 0 09 Jun 2024
Can Evolutionary Clustering Have Theoretical Guarantees? Chao Qian 63 3 0 04 Dec 2022
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
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