11 Result(s)
within
Conference Paper
Dario Izzo
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Chapter and Conference Paper
Globally Optimal Event-Based Divergence Estimation for Ventral Landing
Event sensing is a major component in bio-inspired flight guidance and control systems. We explore the usage of event cameras for predicting time-to-contact (TTC) with the surface during ventral landing. This ...
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Chapter and Conference Paper
Machine Learning of Optimal Low-Thrust Transfers Between Near-Earth Objects
During the initial phase of space trajectory planning and optimization, it is common to have to solve large dimensional global optimization problems. In particular continuous low-thrust propulsion is computati...
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Chapter and Conference Paper
Differentiable Genetic Programming
We introduce the use of high order automatic differentiation, implemented via the algebra of truncated Taylor polynomials, in genetic programming. Using the Cartesian Genetic Programming encoding we obtain a h...
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Chapter and Conference Paper
Multi-rendezvous Spacecraft Trajectory Optimization with Beam P-ACO
The design of spacecraft trajectories for missions visiting multiple celestial bodies is here framed as a multi-objective bilevel optimization problem. A comparative study is performed to assess the performanc...
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Chapter and Conference Paper
Evolutionary Constrained Optimization for a Jupiter Capture
This investigation considers the optimization of multiple gravity assist capture trajectories in the Jupiter system combining the well known Differential Evolution algorithm with different classes of constrain...
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Chapter and Conference Paper
Empirical Performance of the Approximation of the Least Hypervolume Contributor
A fast computation of the hypervolume has become a crucial component for the quality assessment and the performance of modern multi-objective evolutionary optimization algorithms. Albeit recent improvements, e...
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Chapter and Conference Paper
Self-Adaptive Genotype-Phenotype Maps: Neural Networks as a Meta-Representation
In this work we investigate the usage of feedforward neural networks for defining the genotype-phenotype maps of arbitrary continuous optimization problems. A study is carried out over the neural network param...
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Chapter and Conference Paper
PaDe: A Parallel Algorithm Based on the MOEA/D Framework and the Island Model
We study a coarse grained parallelization scheme (thread based) aimed at solving complex multi-objective problems by means of decomposition. Our scheme is loosely based on the MOEA/D framework. The resulting a...
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Chapter and Conference Paper
Tragopogon dubius, Considerations on a Possible Biomimetic Transfer
Tragopogon dubious is a small herbaceous plant that uses the wind as dispersal vector for its seeds. The seeds are attached to stalked parachutes which increase the aerodynamic drag force on the ...
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Chapter and Conference Paper
ALife in the Galapagos: Migration Effects on Neuro-Controller Design
The parallelization of evolutionary computation tasks using a coarse-grained approach can be efficiently achieved using the island migration model. Strongly influenced by the theory of punctuated equilibria, s...
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Chapter and Conference Paper
Lattice Formation in Space for a Swarm of Pico Satellites
We present a distributed control strategy that lets a swarm of satellites autonomously form a lattice in orbit around a planet. The system, based on the artificial potential field approach, proposes a novel wa...
