Automatic design of machine learning via evolutionary computation: A survey

N Li, L Ma, T Xing, G Yu, C Wang, Y Wen, S Cheng… - Applied Soft …, 2023 - Elsevier
Abstract Machine learning (ML), as the most promising paradigm to discover deep
knowledge from data, has been widely applied to practical applications, such as …

Structure induces computational function in networks with diverse types of spiking neurons

C Stöckl, D Lang, W Maass - bioRxiv, 2021 - biorxiv.org
Nature endows networks of spiking neurons in the brain with innate computing capabilities.
But it has remained an open problem how the genome achieves that. Experimental data …

Leveraging More of Biology in Evolutionary Reinforcement Learning

B Gašperov, M Đurasević, D Jakobovic - International Conference on the …, 2024 - Springer
In this paper, we survey the use of additional biologically inspired mechanisms, principles,
and concepts in the area of evolutionary reinforcement learning (ERL). While recent years …

Evolution of evolvability for neuroevolution

A Katona - 2023 - etheses.whiterose.ac.uk
Scientists have been in awe of the powers of evolution since comprehending the
fundamental principles of natural selection. As Darwin eloquently put it, nature has given …