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20242026
most citedEvolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model

14 citations · 22 across the 18 of their papers we have counts for

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cs.AI2024★ 1 cited

LLM4AD: A Platform for Algorithm Design with Large Language Model

Fei Liu, Rui Zhang, Zhuoliang Xie +10

We introduce LLM4AD, a unified Python platform for algorithm design (AD) with large language models (LLMs). LLM4AD is a generic framework with modularized blocks for search methods…

cs.LG2024★ 2 cited

A Systematic Survey on Large Language Models for Algorithm Design

Fei Liu, Yiming Yao, Ping Guo +9

Algorithm design is crucial for effective problem-solving across various domains. The advent of Large Language Models (LLMs) has notably enhanced the automation and innovation with…

cs.AI2024★ 2 cited

Multi-objective Evolution of Heuristic Using Large Language Model

Shunyu Yao, Fei Liu, Xi Lin +3

Heuristics are commonly used to tackle various search and optimization problems. Design heuristics usually require tedious manual crafting with domain knowledge. Recent works have…

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★ 14 cited

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…