An Experimental Study of Some Control Parameters in Parallel Genetic Programming

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

  author =       "Hongqing Cao and Jingxian Yu and Lishan Kang and 
                 R I Bob McKay",
  title =        "An Experimental Study of Some Control Parameters in
                 Parallel Genetic Programming",
  journal =      "Neural, Parallel and Scientific Computation",
  year =         "2003",
  volume =       "11",
  number =       "4",
  pages =        "377--393",
  keywords =     "genetic algorithms, genetic programming, parallel
                 genetic programming, parallel control parameters,
                 evolutionary modelling, system of ordinary differential
  URL =          "",
  size =         "17 pages",
  abstract =     "Using the evolutionary modeling of system of ordinary
                 differential equations (ODEs) as the test problem, this
                 paper primarily investigates the influences of some
                 important parallel control parameters within parallel
                 genetic programming (GP), including the degree of
                 connectivity between demes, the migration rate, the
                 migration generation interval, and the migration
                 policy, on the performance of the parallel evolutionary
                 modelling algorithm (PEMA), which is measured from two
                 perspectives: the solution quality and the parallel
                 speedup. We compare the results with previous
                 theoretical and experimental work in parallel genetic
                 algorithms (GAs), and try to give some plausible
                 analysis and explanations. The results may help to
                 offer some useful design guidelines for researchers
                 using parallel GP.",

Genetic Programming entries for Hong-Qing Cao Jingxian Yu Li-Shan Kang R I (Bob) McKay