Kernel methods for PSOs

Created by W.Langdon from gp-bibliography.bib Revision:1.3949

@TechReport{langdon:2005:CSM443,
  author =       "W. B. Langdon and Riccardo Poli and 
                 Christopher R. Stephens",
  title =        "Kernel methods for PSOs",
  institution =  "Computer Science, University of Essex",
  year =         "2005",
  number =       "CSM-443",
  address =      "UK",
  month =        dec,
  keywords =     "genetic algorithms, genetic programming, Particle
                 Swarm Optimisation, Hill Climbing",
  URL =          "http://www.cs.essex.ac.uk/technical-reports/2005/csm-443.pdf",
  ISSN =         "1744-8050",
  abstract =     "We report initial experiments on evolving kernel
                 functions which describe the average behaviour of a
                 swarm of particles as if it was responding as a single
                 point moving on a landscape transformed by the kernel.
                 Such kernels may help explain swarm and population
                 approaches leading to extended population systems, XPS.
                 The swarm of particles are from a simple particle swarm
                 optimiser solving one dimensional multi-modal 3 peaks
                 and Rastrigin problems. The standard Java genetic
                 programming implementation TinyGP is used.",
  size =         "7 pages",
}

Genetic Programming entries for William B Langdon Riccardo Poli Christopher R Stephens

Citations