10 citations · 22 across the 7 of their papers we have counts for
Showing cs.NEShow all
2 papers · 1 filter
cs.NE2021★ 2 cited
Optimization meets Big Data: A survey
Ricardo Di Pasquale, Javier Marenco
This paper reviews recent advances in big data optimization, providing the state-of-art of this emerging field. The main focus in this review are optimization techniques being appl…
cs.NE2021★ 1 cited
Machine learning for improving performance in an evolutionary algorithm for minimum path with uncertain costs given by massively simulated scenarios
Ricardo Di Pasquale, Javier Marenco
In this work we introduce an implementation for which machine learning techniques helped improve the overall performance of an evolutionary algorithm for an optimization problem, n…