7 citations · 10 across the 6 of their papers we have counts for
3 papers · 1 filter
Adaptive Sampling for Fast Constrained Maximization of Submodular Function
Francesco Quinzan, Vanja Doskoč, Andreas Göbel +1
Several large-scale machine learning tasks, such as data summarization, can be approached by maximizing functions that satisfy submodularity. These optimization problems often invo…
Evolutionary Algorithms and Submodular Functions: Benefits of Heavy-Tailed Mutations
Tobias Friedrich, Andreas Göbel, Francesco Quinzan +1
A core feature of evolutionary algorithms is their mutation operator. Recently, much attention has been devoted to the study of mutation operators with dynamic and non-uniform muta…
Approximating Optimization Problems using EAs on Scale-Free Networks
Ankit Chauhan, Tobias Friedrich, Francesco Quinzan
It has been observed that many complex real-world networks have certain properties, such as a high clustering coefficient, a low diameter, and a power-law degree distribution. A ne…