21 citations · 84 across the 28 of their papers we have counts for
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cs.NE2023★ 16 cited
Algorithm Evolution Using Large Language Model
Fei Liu, Xialiang Tong, Mingxuan Yuan +1
Optimization can be found in many real-life applications. Designing an effective algorithm for a specific optimization problem typically requires a tedious amount of effort from hu…
cs.NE2023★ 21 cited
Large Language Model for Multi-objective Evolutionary Optimization
Fei Liu, Xi Lin, Zhenkun Wang +4
Multiobjective evolutionary algorithms (MOEAs) are major methods for solving multiobjective optimization problems (MOPs). Many MOEAs have been proposed in the past decades, of whic…
cs.LG2023★ 20 cited
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization
Fu Luo, Xi Lin, Fei Liu +2
Neural combinatorial optimization (NCO) is a promising learning-based approach for solving challenging combinatorial optimization problems without specialized algorithm design by e…