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20232026
most citedAlgorithm Evolution Using Large Language Model

16 citations · 18 across the 15 of their papers we have counts for

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5 papers · 1 filter

cs.NE2024

Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models

Rui Zhang, Fei Liu, Xi Lin +3

Automated heuristic design (AHD) has gained considerable attention for its potential to automate the development of effective heuristics. The recent advent of large language models…

cs.NE2024

Evolve Cost-aware Acquisition Functions Using Large Language Models

Yiming Yao, Fei Liu, Ji Cheng +1

Many real-world optimization scenarios involve expensive evaluation with unknown and heterogeneous costs. Cost-aware Bayesian optimization stands out as a prominent solution in add…

cs.NE2024

Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model

Fei Liu, Xialiang Tong, Mingxuan Yuan +5

Heuristics are widely used for dealing with complex search and optimization problems. However, manual design of heuristics can be often very labour extensive and requires rich work…

cs.NE202316 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

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…