Kernel methods for PSOs

Created by W.Langdon from gp-bibliography.bib Revision:1.8010

@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