10 citations · 21 across the 12 of their papers we have counts for
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cs.NE2023
Towards Running Time Analysis of Interactive Multi-objective Evolutionary Algorithms
Tianhao Lu, Chao Bian, Chao Qian
Evolutionary algorithms (EAs) are widely used for multi-objective optimization due to their population-based nature. Traditional multi-objective EAs (MOEAs) generate a large set of…
cs.DS2023
Submodular Maximization under the Intersection of Matroid and Knapsack Constraints
Yu-Ran Gu, Chao Bian, Chao Qian
Submodular maximization arises in many applications, and has attracted a lot of research attentions from various areas such as artificial intelligence, finance and operations resea…
cs.NE2023★ 10 cited
Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms
Chao Bian, Yawen Zhou, Miqing Li +1
Evolutionary algorithms (EAs) have been widely and successfully applied to solve multi-objective optimization problems, due to their nature of population-based search. Population u…