activity
20192021
most citedA Time-Dependent TSP Formulation for the Design of an Active Debris Removal Mission using Simulated Annealing

9 citations · 25 across the 6 of their papers we have counts for

collaborators

6 papers

astro-ph.EP2021★ 3 cited

Analysis of 3GM Callisto Gravity Experiment of the JUICE Mission

Mauro Di Benedetto, Paolo Cappuccio, Serena Molli +2

The ESA's JUICE mission will provide a thorough investigation of the Jupiter system and the Galilean moons during its nominal tour, comprising flybys of Europa and Callisto, and an…

cs.LG2020★ 6 cited

Reinforcement Learning for Low-Thrust Trajectory Design of Interplanetary Missions

Alessandro Zavoli, Lorenzo Federici

This paper investigates the use of Reinforcement Learning for the robust design of low-thrust interplanetary trajectories in presence of severe disturbances, modeled alternatively…

cs.NE2020

EOS: a Parallel, Self-Adaptive, Multi-Population Evolutionary Algorithm for Constrained Global Optimization

Lorenzo Federici, Boris Benedikter, Alessandro Zavoli

This paper presents the main characteristics of the evolutionary optimization code named EOS, Evolutionary Optimization at Sapienza, and its successful application to challenging,…

math.OC2019★ 7 cited

Integrated Optimization of Ascent Trajectory and SRM Design of Multistage Launch Vehicles

Lorenzo Federici, Alessandro Zavoli, Guido Colasurdo +2

This paper presents a methodology for the concurrent first-stage preliminary design and ascent trajectory optimization, with application to a Vega-derived Light Launch Vehicle. The…

math.OC2019

GTOC X: Solution Approach of Team Sapienza-PoliTo

Alessandro Zavoli, Lorenzo Federici, Boris Benedikter +2

This paper summarizes the solution approach and the numerical methods developed by the joint team Sapienza University of Rome and Politecnico di Torino (Team Sapienza-PoliTo) in th…

math.OC2019★ 9 cited

A Time-Dependent TSP Formulation for the Design of an Active Debris Removal Mission using Simulated Annealing

Lorenzo Federici, Alessandro Zavoli, Guido Colasurdo

This paper proposes a formulation of the Active Debris Removal (ADR) Mission Design problem as a modified Time-Dependent Traveling Salesman Problem (TDTSP). The TDTSP is a well-kno…