Andrea Mambrini

School of Computer Science
University of Birmingham
Y9 Computer Science Building
B15 2TT - United Kingdom

Room 125

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I moved to the University of Sheffield, please check my NEW PAGE

I am a doctoral researcher studying for a PhD in the School of Computer Science at the University of Birmingham since November 2011 under the supervision of Prof. Xin Yao.

I am working with Dr. Dirk Sudholt on parallel bio-inspired computation and with Dr. Alberto Moraglio on genetic programming.

Research interests

  • Theory of bio-inspired computation
  • Genetic Programming
  • Parallel evolutionary algorithms

Conference Articles

  • PaDe: a parallel algorithm based on the MOEA/D framework and the island model [final version] [preprint] [poster]
    Andrea Mambrini and Dario Izzo
    to appear at 13th International Conference on Parallel Problem Solving from Nature (PPSN 2014), September 13-17, 2014, Ljubljana, Slovenia
  • Design and Analysis of Adaptive Migration Intervals in Parallel Evolutionary Algorithms [final version]
    Andrea Mambrini and Dirk Sudholt
    Genetic and Evolutionary Computation Conference (GECCO 2014), 12-16 July 2014, Vancouver, Canada.
    Best paper award in the track 'Parallel Evolutionary Systems'.
  • A Comparison between Geometric Semantic GP and Cartesian GP for Boolean Functions Learning [final version] [poster]
    Andrea Mambrini and Luca Manzoni
    to appear at Genetic and Evolutionary Computation Conference (GECCO 2014), 12-16 July 2014, Vancouver, Canada.
  • Runtime Analysis of Mutation-Based Geometric Semantic Genetic Programming for Basis Functions Regressions [final version] [preprint]
    Alberto Moraglio and Andrea Mambrini
    Genetic and Evolutionary Computation Conference (GECCO 2013), 6-10 July 2013, Amsterdam, The Netherlands.
    Nominated for a best paper award in the track 'Genetic Programming'.
  • Theory-Laden Design of Mutation-Based Geometric Semantic Genetic Programming for Learning Classification Trees [final version] [slides] [preprint]
    Andrea Mambrini, Luca Manzoni and Alberto Moraglio
    IEEE Congress on Evolutionary Computation (CEC 2013), 20-23 June 2013, CancĂșn, Mexico.
  • Runtime Analysis of Mutation-Based Geometric Semantic Genetic Programming on Boolean Functions [final version] [slides] [preprint]
    Alberto Moraglio, Andrea Mambrini, and Luca Manzoni
    Foundations of Genetic Algorithms (FOGA 2013), 16-20 January 2013, Adelaide, Australia.
  • Homogeneous and Heterogeneous Island Models for the Set Cover Problem [final version] [poster] [slides] [preprint]
    Andrea Mambrini, Dirk Sudholt, and Xin Yao
    Parallel Problem Solving from Nature (PPSN 2012), 1-5 September 2012, Taormina, Italy.

Workshop Articles

  • A framework for measuring the generalization ability of Geometric Semantic Genetic Programming (GSGP) for Black-Box Boolean Functions Learning
    Andrea Mambrini, Yang Yu, and Xin Yao
    Semantic Methods in Genetic Programming (SGMP'14), 13th September 2014, Ljubljana, Slovenia
  • Theory-Laden design of Mutation-Based Geometric Semantic Genetic Programming for Basis Functions Regression [slides]
    Alberto Moraglio and Andrea Mambrini
    Workshop on Theory of Randomized Search Heuristics (ThRaSH 2013), 13-14 September 2013, Aberystwyth, UK
  • Homogeneous and Heterogeneous Island Models for the Set Cover Problem [slides]
    Andrea Mambrini, Dirk Sudholt, and Xin Yao
    Workshop on Theory of Randomized Search Heuristics (ThRaSH 2012), 2-3 May 2012, Lille, France

Teaching

Programme Committees

Journal reviewing

  • Evolutionary Computation (ECJ, MIT Press)
  • IEEE Transactions on Evolutionary Computation (TEVC, IEEE)
  • Genetic Programming and Evolvable Machines (GENP, Springer)
  • Neurocomputing (NEUCOM, Elsevier)
  • Natural Computing (NACO, Springer)
  • Journal of Computer Science and Technology (JCST, Springer)

Talks

  • Geometric Semantic Genetic Programming (GSGP): theory-laden design of variation operators, Nanjing University, 7th March 2014, Nanjing, China [slides]
  • Geometric Semantic Genetic Programming (GSGP): theory-laden design of variation operators, Research skill module, University of Birmingham, 15th January 2014, Birmingham, UK [slides] -- Best presentation award
  • Geometric Semantic Genetic Programming (GSGP): theory-laden design of semantic mutation operators, European Space and Technology Centre (ESTEC) -- Advanced Concept Team (ACT) -- Science Coffee, 12th July 2013, Noordwijk, The Netherlands [slides]
  • Geometric Semantic Genetic Programming (GSGP): theory-laden design of semantic mutation operators, University of Sheffield, 6th June 2013, Sheffield, UK [slides]

Projects

Visiting Research

  • Honda Research Institute Europe (HRI-EU), Offenbach am Main, Germany, September-December 2014
  • Learning and Mining from Data group (LAMDA) at Nanjing University, Nanjing, China, February-April 2014
  • Advanced Concepts Team (ACT) at European Space Agency (ESA), European Space Research and Technology Centre (ESTEC), Noordwijk, The Netherlands, July 2013