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8 Result(s)

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  1. No Access

    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...

    Alessio Mereta, Dario Izzo, Alexander Wittig in Hybrid Artificial Intelligent Systems (2017)

  2. No Access

    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...

    Dario Izzo, Francesco Biscani, Alessio Mereta in Genetic Programming (2017)

  3. No Access

    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...

    Luís F. Simões, Dario Izzo, Evert Haasdijk… in Evolutionary Computation in Combinatorial … (2017)

  4. No Access

    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...

    Jérémie Labroquère, Aurélie Héritier… in Parallel Problem Solving from Nature – PPS… (2014)

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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...

    Krzysztof Nowak, Marcus Märtens, Dario Izzo in Parallel Problem Solving from Nature – PPS… (2014)

  6. No Access

    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...

    Luís F. Simões, Dario Izzo, Evert Haasdijk… in Parallel Problem Solving from Nature – PPS… (2014)

  7. No Access

    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...

    Andrea Mambrini, Dario Izzo in Parallel Problem Solving from Nature – PPSN XIII (2014)

  8. No Access

    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...

    Carlo Pinciroli, Mauro Birattari, Elio Tuci… in Ant Colony Optimization and Swarm Intellig… (2008)