Search space pruning and global optimisation of multiple gravity assist spacecraft trajectories. - Dario Izzo; Victor M. Becerra; Darren R. Myatt; Slawomir J. Nasuto; J. Mark Bishop (J. Glob. Optim., 2007)

Self-Organizing and Scalable Shape Formation for a Swarm of Pico Satellites. - Carlo Pinciroli; Mauro Birattari; Elio Tuci; Marco Dorigo; Marco del Rey Zapatero; Tamás Vinkó; Dario Izzo (AHS, 2008)

Lattice Formation in Space for a Swarm of Pico Satellites. - Carlo Pinciroli; Mauro Birattari; Elio Tuci; Marco Dorigo; Marco del Rey Zapatero; Tamás Vinkó; Dario Izzo (ANTS Conference, 2008)

Parallel global optimisation meta-heuristics using an asynchronous island-model. - Dario Izzo; Marek Rucinski; Christos Ampatzis (IEEE Congress on Evolutionary Computation, 2009)

ALife in the Galapagos: Migration Effects on Neuro-Controller Design. - Christos Ampatzis; Dario Izzo; Marek Rucinski; Francesco Biscani (ECAL (1), 2009)

Constrained global optimization of low-thrust interplanetary trajectories. - Chit Hong Yam; David Di Lorenzo; Dario Izzo (IEEE Congress on Evolutionary Computation, 2010)

Implicit retrieval of salient images using Brain Computer Interface. - Ashkan Yazdani; Jean-Marc Vesin; Dario Izzo; Christos Ampatzis; Touradj Ebrahimi (ICIP, 2010)

An island-model framework for evolving neuro-controllers for planetary rover control. - Martin Peniak; Barry Bentley; Davide Marocco; Angelo Cangelosi; Christos Ampatzis; Dario Izzo; Francesco Biscani (IJCNN, 2010)

A Global Optimisation Toolbox for Massively Parallel Engineering Optimisation - Francesco Biscani; Dario Izzo; Chit Hong Yam (CoRR, 2010)

On the impact of the migration topology on the Island Model. - Marek Rucinski; Dario Izzo; Francesco Biscani (Parallel Comput., 2010)

Evolving Autonomous Mars Rovers. - Angelo Cangelosi; Christos Ampatzis; Dario Izzo (ERCIM News, 2011)

Tragopogon dubius, Considerations on a Possible Biomimetic Transfer. - Camilla Pandolfi; Vincent Casseau; Terence Pei Fu; Lionel Jacques; Dario Izzo (Living Machines, 2012)

The Generalized Island Model. - Dario Izzo; Marek Rucinski; Francesco Biscani (Parallel Architectures and Bioinspired Algorithms, 2012)

Search for a grand tour of the jupiter galilean moons. - Dario Izzo; Luís F. Simões; Marcus Märtens; Guido C. H. E. de Croon; Aurelie Heritier; Chit Hong Yam (GECCO, 2013)

The asynchronous island model and NSGA-II: study of a new migration operator and its performance. - Marcus Märtens; Dario Izzo (GECCO, 2013)

Evolutionary robotics approach to odor source localization. - Guido C. H. E. de Croon; L. M. O'Connor; C. Nicol; Dario Izzo (Neurocomputing, 2013)

Evolutionary Constrained Optimization for a Jupiter Capture. - Jérémie Labroquère; Aurélie Héritier; Annalisa Riccardi; Dario Izzo (PPSN, 2014)

PaDe: A Parallel Algorithm Based on the MOEA/D Framework and the Island Model. - Andrea Mambrini; Dario Izzo (PPSN, 2014)

Empirical Performance of the Approximation of the Least Hypervolume Contributor. - Krzysztof Nowak; Marcus Märtens; Dario Izzo (PPSN, 2014)

Self-Adaptive Genotype-Phenotype Maps: Neural Networks as a Meta-Representation. - Luís F. Simões; Dario Izzo; Evert Haasdijk; Ágoston E. Eiben (PPSN, 2014)

An evolutionary robotics approach for the distributed control of satellite formations. - Dario Izzo; Luís F. Simões; Guido C. H. E. de Croon (Evol. Intell., 2014)

Evolving Solutions to TSP Variants for Active Space Debris Removal. - Dario Izzo; Ingmar Getzner; Daniel Hennes; Luís Felismino Simões (GECCO, 2015)

Novelty Search for Soft Robotic Space Exploration. - Georgios Methenitis; Daniel Hennes; Dario Izzo; Arnoud Visser (GECCO, 2015)

Injection, Saturation and Feedback in Meta-Heuristic Interactions. - Krzysztof Nowak; Dario Izzo; Daniel Hennes (GECCO, 2015)

Interplanetary Trajectory Planning with Monte Carlo Tree Search. - Daniel Hennes; Dario Izzo (IJCAI, 2015)

Controlling spacecraft landings with constantly and exponentially decreasing time-to-contact. - Guido C. H. E. de Croon; Daniel Alazard; Dario Izzo (IEEE Trans. Aerosp. Electron. Syst., 2015)

Fast approximators for optimal low-thrust hops between main belt asteroids. - Daniel Hennes; Dario Izzo; Damon Landau (SSCI, 2016)

Optimal orderings of k-subsets for star identification. - Joerg H. Mueller; Carlos Sánchez-Sánchez; Luís F. Simões; Dario Izzo (SSCI, 2016)

Learning the optimal state-feedback using deep networks. - Carlos Sánchez-Sánchez; Dario Izzo; Daniel Hennes (SSCI, 2016)

Persistent self-supervised learning principle: from stereo to monocular vision for obstacle avoidance. - Kevin van Hecke; Guido de Croon; Laurens van der Maaten; Daniel Hennes; Dario Izzo (CoRR, 2016)

GTOC8: Results and Methods of ESA Advanced Concepts Team and JAXA-ISAS. - Dario Izzo; Daniel Hennes; Marcus Märtens; Ingmar Getzner; Krzysztof Nowak; Anna Heffernan; Stefano Campagnola; Chit Hong Yam; Naoya Ozaki; Yoshihide Sugimoto (CoRR, 2016)

Real-time optimal control via Deep Neural Networks: study on landing problems. - Carlos Sánchez-Sánchez; Dario Izzo (CoRR, 2016)

Space Debris Removal: A Game Theoretic Analysis. - Richard Klíma; Daan Bloembergen; Rahul Savani; Karl Tuyls; Daniel Hennes; Dario Izzo (Games, 2016)

Differentiable Genetic Programming. - Dario Izzo; Francesco Biscani; Alessio Mereta (EuroGP, 2017)

Multi-rendezvous Spacecraft Trajectory Optimization with Beam P-ACO. - Luís F. Simões; Dario Izzo; Evert Haasdijk; A. E. Eiben (EvoCOP, 2017)

Machine Learning of Optimal Low-Thrust Transfers Between Near-Earth Objects. - Alessio Mereta; Dario Izzo; Alexander Wittig (HAIS, 2017)

Machine learning and evolutionary techniques in interplanetary trajectory design. - Dario Izzo; Christopher Iliffe Sprague; Dharmesh Tailor (CoRR, 2018)

On the stability analysis of optimal state feedbacks as represented by deep neural models. - Dario Izzo; Dharmesh Tailor; Thomas Vasileiou (CoRR, 2018)

A Survey on Artificial Intelligence Trends in Spacecraft Guidance Dynamics and Control. - Dario Izzo; Marcus Märtens; Binfeng Pan (CoRR, 2018)

Space Debris Removal: Learning to Cooperate and the Price of Anarchy. - Richard Klíma; Daan Bloembergen; Rahul Savani; Karl Tuyls; Alexander Wittig; Andrei Sapera; Dario Izzo (Frontiers Robotics AI, 2018)

Interplanetary transfers via deep representations of the optimal policy and/or of the value function. - Dario Izzo; Ekin Öztürk; Marcus Märtens (GECCO (Companion), 2019)

Neural network architecture search with differentiable cartesian genetic programming for regression. - Marcus Märtens; Dario Izzo (GECCO (Companion), 2019)

Learning the optimal state-feedback via supervised imitation learning. - Dharmesh Tailor; Dario Izzo (CoRR, 2019)

Learning a Family of Optimal State Feedback Controllers. - Christopher Iliffe Sprague; Dario Izzo; Petter Ögren (CoRR, 2019)

Super-Resolution of PROBA-V Images Using Convolutional Neural Networks. - Marcus Märtens; Dario Izzo; Andrej Krzic; Daniël Cox (CoRR, 2019)

Learning Dynamic-Objective Policies from a Class of Optimal Trajectories. - Christopher Iliffe Sprague; Dario Izzo; Petter Ögren (CDC, 2020)

MHACO: a Multi-Objective Hypervolume-Based Ant Colony Optimizer for Space Trajectory Optimization. - Giacomo Acciarini; Dario Izzo; Erwin Mooij (CEC, 2020)

Safe crossover of neural networks through neuron alignment. - Thomas Uriot; Dario Izzo (GECCO, 2020)

Aggressive Online Control of a Quadrotor via Deep Network Representations of Optimality Principles. - Shuo Li; Ekin Öztürk; Christophe De Wagter; Guido C. H. E. de Croon; Dario Izzo (ICRA, 2020)

Real-Time Optimal Guidance and Control for Interplanetary Transfers Using Deep Networks. - Dario Izzo; Ekin Öztürk (CoRR, 2020)

Spacecraft Collision Avoidance Challenge: design and results of a machine learning competition. - Thomas Uriot; Dario Izzo; Luís F. Simões; Rasit Abay; Nils Einecke; Sven Rebhan; José A. Martinez-Heras; Francesca Letizia; Jan Siminski; Klaus Merz (CoRR, 2020)

A parallel global multiobjective framework for optimization: pagmo. - Francesco Biscani; Dario Izzo (J. Open Source Softw., 2020)

dcgp: Differentiable Cartesian Genetic Programming made easy. - Dario Izzo; Francesco Biscani (J. Open Source Softw., 2020)

Satellite Pose Estimation Challenge: Dataset, Competition Design, and Results. - Mate Kisantal; Sumant Sharma; Tae Ha Park; Dario Izzo; Marcus Märtens; Simone D'Amico (IEEE Trans. Aerosp. Electron. Syst., 2020)

spotGEO dataset. - Bo Chen 009; Daqi Liu; Tat-Jun Chin; Mark Rutten; Dawa Derksen; Marcus Märtens; Moritz von Looz; Gurvan Lécuyer; Dario Izzo (Zenodo, 2020)

spotGEO starter kit. - Dawa Derksen; Marcus Märtens; Moritz von Looz; Gurvan Lécuyer; Dario Izzo; Bo Chen 009; Daqi Liu; Tat-Jun Chin; Mark Rutten (Zenodo, 2020)

Spot the GEO Satellites: From Dataset to Kelvins SpotGEO Challenge. - Bo Chen 009; Daqi Liu; Tat-Jun Chin; Mark Rutten; Dawa Derksen; Marcus Märtens; Moritz von Looz; Gurvan Lécuyer; Dario Izzo (CVPR Workshops, 2021)

Shadow Neural Radiance Fields for Multi-View Satellite Photogrammetry. - Dawa Derksen; Dario Izzo (CVPR Workshops, 2021)

Vision-Based Neural Scene Representations for Spacecraft. - Anne Mergy; Gurvan Lécuyer; Dawa Derksen; Dario Izzo (CVPR Workshops, 2021)

Event-Based Spacecraft Landing Using Time-To-Contact. - Olaf Sikorski; Dario Izzo; Gabriele Meoni (CVPR Workshops, 2021)

Revisiting high-order Taylor methods for astrodynamics and celestial mechanics. - Francesco Biscani; Dario Izzo (CoRR, 2021)

Geodesy of irregular small bodies via neural density fields: geodesyNets. - Dario Izzo; Pablo Gómez (CoRR, 2021)

SPEED+: Next Generation Dataset for Spacecraft Pose Estimation across Domain Gap. - Tae Ha Park; Marcus Märtens; Gurvan Lécuyer; Dario Izzo; Simone D'Amico (CoRR, 2021)

On the Stability Analysis of Deep Neural Network Representations of an Optimal State Feedback. - Dario Izzo; Dharmesh Tailor; Thomas Vasileiou (IEEE Trans. Aerosp. Electron. Syst., 2021)

spotGEO dataset. - Bo Chen 009; Daqi Liu; Tat-Jun Chin; Mark Rutten; Dawa Derksen; Marcus Märtens; Moritz von Looz; Gurvan Lécuyer; Dario Izzo (Zenodo, 2021)

Globally Optimal Event-Based Divergence Estimation for Ventral Landing. - Sofia McLeod; Gabriele Meoni; Dario Izzo; Anne Mergy; Daqi Liu; Yasir Latif; Ian D. Reid 001; Tat-Jun Chin (ECCV Workshops (1), 2022)

Optimization challenges at the european space agency. - Dario Izzo; Manuel López-Ibáñez 001 (GECCO Companion, 2022)

Neural representation of a time optimal, constant acceleration rendezvous. - Dario Izzo; Sebastien Origer (CoRR, 2022)

Reliable event detection for Taylor methods in astrodynamics. - Francesco Biscani; Dario Izzo (CoRR, 2022)

The Fellowship of the Dyson Ring: ACT&Friends' Results and Methods for GTOC 11. - Marcus Märtens; Dario Izzo; Emmanuel Blazquez; Moritz von Looz; Pablo Gómez; Anne Mergy; Giacomo Acciarini; Chit Hong Yam; Javier Hernando Ayuso; Yuri Shimane (CoRR, 2022)

Symbolic Regression for Space Applications: Differentiable Cartesian Genetic Programming Powered by Multi-objective Memetic Algorithms. - Marcus Märtens; Dario Izzo (CoRR, 2022)

Neuromorphic Computing and Sensing in Space. - Dario Izzo; Alexander Hadjiivanov; Dominik Dold; Gabriele Meoni; Emmanuel Blazquez (CoRR, 2022)

Selected Trends in Artificial Intelligence for Space Applications. - Dario Izzo; Gabriele Meoni; Pablo Gómez; Dominik Dold; Alexander Zoechbauer (CoRR, 2022)

An Adaptive Control Strategy for Neural Network based Optimal Quadcopter Controllers. - Robin Ferede; Guido C. H. E. de Croon; Christophe De Wagter; Dario Izzo (CoRR, 2023)

Guidance & Control Networks for Time-Optimal Quadcopter Flight. - Sebastien Origer; Christophe De Wagter; Robin Ferede; Guido C. H. E. de Croon; Dario Izzo (CoRR, 2023)

Investigation of the Robustness of Neural Density Fields. - Jonas Schuhmacher; Fabio Alexander Gratl; Dario Izzo; Pablo Gómez (CoRR, 2023)

On the Generation of a Synthetic Event-Based Vision Dataset for Navigation and Landing. - Loïc J. Azzalini; Emmanuel Blazquez; Alexander Hadjiivanov; Gabriele Meoni; Dario Izzo (CoRR, 2023)

Small Celestial Body Exploration with CubeSat Swarms. - Emmanuel Blazquez; Dario Izzo; Francesco Biscani; Roger Walker; Franco Perez-Lissi (CoRR, 2023)

Tracking Particles Ejected From Active Asteroid Bennu With Event-Based Vision. - Loïc J. Azzalini; Dario Izzo (CoRR, 2023)

The Space Optimization Competition: Third Edition. - Max Bannach; Emmanuel Blazquez; Dario Izzo; Giacomo Acciarini; Alexander Hadjiivanov; Gernot Heißel; Rita Mastroianni; Sebastien Origer; Jai Grover; Dominik Dold; Zacharia Rudge (GECCO Companion, 2024)

End-to-end Reinforcement Learning for Time-Optimal Quadcopter Flight. - Robin Ferede; Christophe De Wagter; Dario Izzo; Guido C. H. E. de Croon (ICRA, 2024)

Closing the Gap Between SGP4 and High-Precision Propagation via Differentiable Programming. - Giacomo Acciarini; Atilim Günes Baydin; Dario Izzo (CoRR, 2024)

Closing the gap: Optimizing Guidance and Control Networks through Neural ODEs. - Sebastien Origer; Dario Izzo (CoRR, 2024)

Guidance and Control Networks with Periodic Activation Functions. - Sebastien Origer; Dario Izzo (CoRR, 2024)

Computing low-thrust transfers in the asteroid belt, a comparison between astrodynamical manipulations and a machine learning approach. - Giacomo Acciarini; Laurent Beauregard; Dario Izzo (CoRR, 2024)

NeuralODEs for VLEO simulations: Introducing thermoNET for Thermosphere Modeling. - Dario Izzo; Giacomo Acciarini; Francesco Biscani (CoRR, 2024)

Nonlinear Propagation of Non-Gaussian Uncertainties: Theory and Applications to Spacecraft Trajectory Design. - Giacomo Acciarini; Nicola Baresi; David Lloyd; Dario Izzo (CoRR, 2024)

EclipseNETs: a differentiable description of irregular eclipse conditions. - Giacomo Acciarini; Francesco Biscani; Dario Izzo (CoRR, 2024)

Certifying Guidance & Control Networks: Uncertainty Propagation to an Event Manifold. - Sebastien Origer; Dario Izzo; Giacomo Acciarini; Francesco Biscani; Rita Mastroianni; Max Bannach; Harry Holt (CoRR, 2024)

Asteroid Mining: ACT&Friends' Results for the GTOC 12 Problem. - Dario Izzo; Marcus Märtens; Laurent Beauregard; Max Bannach; Giacomo Acciarini; Emmanuel Blazquez; Alexander Hadjiivanov; Jai Grover; Gernot Heißel; Yuri Shimane; Chit Hong Yam (CoRR, 2024)

Continuous Design and Reprogramming of Totimorphic Structures for Space Applications. - Dominik Dold; Amy Thomas; Nicole Rosi; Jai Grover; Dario Izzo (CoRR, 2024)

Efficient Polyhedral Gravity Modeling in Modern C++ and Python. - Jonas Schuhmacher; Emmanuel Blazquez; Fabio Alexander Gratl; Dario Izzo; Pablo Gómez (J. Open Source Softw., 2024)

Optimality principles in spacecraft neural guidance and control. - Dario Izzo; Emmanuel Blazquez; Robin Ferede; Sebastien Origer; Christophe De Wagter; Guido C. H. E. de Croon (Sci. Robotics, 2024)

End-to-end neural network based optimal quadcopter control. - Robin Ferede; Guido de Croon; Christophe De Wagter; Dario Izzo (Robotics Auton. Syst., 2024)

EclipseNETs: Learning Irregular Small Celestial Body Silhouettes. - Giacomo Acciarini; Dario Izzo; Francesco Biscani (CoRR, 2025)

High-order expansion of Neural Ordinary Differential Equations flows. - Dario Izzo; Sebastien Origer; Giacomo Acciarini; Francesco Biscani (CoRR, 2025)

Probability of collision in nonlinear dynamics by moment propagation. - Théo Verhelst; Giacomo Acciarini; Dario Izzo; Francesco Biscani (CoRR, 2025)

Energy efficiency analysis of Spiking Neural Networks for space applications. - Paolo Lunghi; Stefano Silvestrini; Dominik Dold; Gabriele Meoni; Alexander Hadjiivanov; Dario Izzo (CoRR, 2025)

Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks. - Harry Holt; Sebastien Origer; Dario Izzo (CoRR, 2025)