Evolutionary computation in the era of large language model: Survey and roadmap

X Wu, S Wu, J Wu, L Feng, KC Tan - arXiv preprint arXiv:2401.10034, 2024 - arxiv.org
Large Language Models (LLMs), built upon Transformer-based architectures with massive
pretraining on diverse data, have not only revolutionized natural language processing but …

An example of evolutionary computation+ large language model beating human: Design of efficient guided local search

F Liu, X Tong, M Yuan, X Lin, F Luo, Z Wang… - arXiv preprint arXiv …, 2024 - arxiv.org
It is often very tedious for human experts to design efficient algorithms. Recently, we have
proposed a novel Algorithm Evolution using Large Language Model (AEL) framework for …

Algorithm evolution using large language model

F Liu, X Tong, M Yuan, Q Zhang - arXiv preprint arXiv:2311.15249, 2023 - arxiv.org
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 human …

scELMo: Embeddings from Language Models are Good Learners for Single-cell Data Analysis

T Liu, T Chen, W Zheng, X Luo, H Zhao - bioRxiv, 2023 - biorxiv.org
Abstract Various Foundation Models (FMs) have been built based on the pre-training and
fine-tuning framework to analyze single-cell data with different degrees of success. In this …

Exploring the True Potential: Evaluating the Black-box Optimization Capability of Large Language Models

B Huang, X Wu, Y Zhou, J Wu, L Feng, R Cheng… - arXiv preprint arXiv …, 2024 - arxiv.org
Large language models (LLMs) have gained widespread popularity and demonstrated
exceptional performance not only in natural language processing (NLP) tasks but also in …

When Large Language Model Meets Optimization

S Huang, K Yang, S Qi, R Wang - arXiv preprint arXiv:2405.10098, 2024 - arxiv.org
Optimization algorithms and large language models (LLMs) enhance decision-making in
dynamic environments by integrating artificial intelligence with traditional techniques. LLMs …

[PDF][PDF] Nature-inspired Intelligent Computing: A Comprehensive Survey

L Jiao, J Zhao, C Wang, X Liu, F Liu, L Li, R Shang, Y Li… - Research - spj.science.org
Nature, with its numerous surprising rules, serves as a rich source of creativity for the 8
development of artificial intelligence, inspiring researchers to create several nature-inspired …