Geometric Particle Swarm Optimization

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Alberto Moraglio and Cecilia {Di Chio} and 
                 Riccardo Poli",
  title =        "Geometric Particle Swarm Optimization",
  editor =       "Marc Ebner and Michael O'Neill and Anik\'o Ek\'art and 
                 Leonardo Vanneschi and Anna Isabel Esparcia-Alc\'azar",
  booktitle =    "Proceedings of the 10th European Conference on Genetic
  publisher =    "Springer",
  series =       "Lecture Notes in Computer Science",
  volume =       "4445",
  year =         "2007",
  address =      "Valencia, Spain",
  month =        "11-13 " # apr,
  pages =        "125--136",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-71602-5",
  isbn13 =       "978-3-540-71602-0",
  DOI =          "doi:10.1007/978-3-540-71605-1_12",
  abstract =     "Using a geometric framework for the interpretation of
                 crossover of recent introduction, we show an intimate
                 connection between particle swarm optimisation (PSO)
                 and evolutionary algorithms. This connection enables us
                 to generalise PSO to virtually any solution
                 representation in a natural and straightforward way. We
                 demonstrate this for the cases of Euclidean, Manhattan
                 and Hamming spaces.",
  notes =        "Part of \cite{ebner:2007:GP} EuroGP'2007 held in
                 conjunction with EvoCOP2007, EvoBIO2007 and

Genetic Programming entries for Alberto Moraglio Cecilia Di Chio Riccardo Poli