Exploring the Improvement of Evolutionary Computation via Large Language Models

arXiv:2405.02876v1 Announce Type: cross
Abstract: Evolutionary computation (EC), as a powerful optimization algorithm, has been applied across various domains. However, as the complexity of problems increases, the limitations of EC have become more apparent. The advent of large language models (LLMs) has not only transformed natural language processing but also extended their capabilities to diverse fields. By harnessing LLMs' vast knowledge and adaptive capabilities, we provide a forward-looking overview of potential improvements LLMs can bring to EC, focusing on the …

abstract algorithm arxiv become complexity computation cs.lg cs.ne domains however improvement language language models language processing large language large language models limitations llms natural natural language natural language processing optimization processing type via