Skip to main content

and
  1. No Access

    Chapter and Conference Paper

    Directed Locomotion for Modular Robots with Evolvable Morphologies

    Morphologically evolving robot systems need to include a learning period right after ‘birth’ to acquire a controller that fits the newly created body. In this paper, we investigate learning one skill in partic...

    Gong** Lan, Milan Jelisavcic in Parallel Problem Solving from Nature – PPS… (2018)

  2. No Access

    Book and Conference Proceedings

    Genetic Programming

    20th European Conference, EuroGP 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings

    James McDermott, Mauro Castelli, Lukas Sekanina in Lecture Notes in Computer Science (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

    Tutorials at PPSN 2016

    PPSN 2016 hosts a total number of 16 tutorials covering a broad range of current research in evolutionary computation. The tutorials range from introductory to advanced and specialized but can all be attended ...

    Carola Doerr, Nicolas Bredeche, Enrique Alba in Parallel Problem Solving from Nature – PPS… (2016)

  5. 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)

  6. No Access

    Chapter and Conference Paper

    It’s Fate: A Self-organising Evolutionary Algorithm

    We introduce a novel evolutionary algorithm where the centralized oracle –the selection-reproduction loop– is replaced by a distributed system of Fate Agents that autonomously perform the evolutionary operations....

    Jan Bim, Giorgos Karafotias, S. K. Smit in Parallel Problem Solving from Nature - PPS… (2012)