Web: http://arxiv.org/abs/2205.02105

May 5, 2022, 1:10 a.m. | Fergal Stapleton, Edgar Galván, Ganesh Sistu, Senthil Yogamani

cs.CV updates on arXiv.org arxiv.org

The incentive for using Evolutionary Algorithms (EAs) for the automated
optimization and training of deep neural networks (DNNs), a process referred to
as neuroevolution, has gained momentum in recent years. The configuration and
training of these networks can be posed as optimization problems. Indeed, most
of the recent works on neuroevolution have focused their attention on
single-objective optimization. Moreover, from the little research that has been
done at the intersection of neuroevolution and evolutionary multi-objective
optimization (EMO), all the research …

arxiv autonomous autonomous vehicles prediction

More from arxiv.org / cs.CV updates on arXiv.org

Director, Applied Mathematics & Computational Research Division

@ Lawrence Berkeley National Lab | Berkeley, Ca

Business Data Analyst

@ MainStreet Family Care | Birmingham, AL

Assistant/Associate Professor of the Practice in Business Analytics

@ Georgetown University McDonough School of Business | Washington DC

Senior Data Science Writer

@ NannyML | Remote

Director of AI/ML Engineering

@ Armis Industries | Remote (US only), St. Louis, California

Digital Analytics Manager

@ Patagonia | Ventura, California