11th of July, at 15h00, Goran Mauša will give a presentation entitled“Efficient evolutionary computing”
Location: G4.1
Bio
Goran Mauša obtained his PhD in computer science on the topic of software defect prediction at the University of Zagreb in 2016. His current position is assistant professor at the Faculty of Engineering, University of Rijeka, and head of Department of computer engineering. His research interests include machine learning and soft computing applied to the field of peptide chemistry, environmental engineering, and sustainability. He is currently involved in 8 scientific projects, participated in the organization of 9 conferences and 7 PhD forums, authored 14 journal papers and 35 conference papers and posters.
Abstract
In computer science, evolutionary computing is a family of nature-inspired algorithms for solving complex search-based and optimization problems. The idea of evolutionary computing is to find the best solution to a given problem in a smaller number of steps than traditional and computationally demanding approaches like exhaustive or grid search. Our aim is to investigate whether this strategy can be made even greener through hyper-parameter tuning, selecting the appropriate optimization algorithm and programming language, building surrogate models and neuroevolution.