activity
20192023
most citedMachine Learning Algorithms in Design Optimization

2 citations · 2 across the 2 of their papers we have counts for

collaborators

5 papers

math.NA2023

Regularization of Kriging interpolation on irregularly spaced data

Daniele Peri

Interpolation models are critical for a wide range of applications, from numerical optimization to artificial intelligence. The reliability of the provided interpolated value is of…

math.OC2022★ 2 cited

Machine Learning Algorithms in Design Optimization

Daniele Peri

Numerical optimization of complex systems benefits from the technological development of computing platforms in the last twenty years. Unfortunately, this is still not enough, and…

physics.soc-ph2019

Mathematical models and methods for crowd dynamics control

Giacomo Albi, Emiliano Cristiani, Lorenzo Pareschi +1

In this survey we consider mathematical models and methods recently developed to control crowd dynamics, with particular emphasis on egressing pedestrians. We focus on two control…

q-bio.QM2019

Numerical Optimization of Plasmid DNA Delivery Combined with Hyaluronidase Injection for Electroporation Protocol

Daniele Peri, Manon Deville, Clair Poignard +2

The definition of an innovative therapeutic protocol requires the fine tuning of all the involved operations in order to maximize the efficiency. In some cases, the price of the ex…

physics.soc-ph2019

Robust Design Optimization for Egressing Pedestrians in Unknown Environments

Emiliano Cristiani, Daniele Peri

In this paper, we deal with a size-variable group of pedestrians moving in a unknown confined environment and searching for an exit. Pedestrian dynamics are simulated by means of a…