Adaptable Evolutionary Particle Swarm Optimization

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

  author =       "Muhammad Rashid and A. {Rauf Baig}",
  title =        "Adaptable Evolutionary Particle Swarm Optimization",
  booktitle =    "3rd International Conference on Innovative Computing
                 Information and Control, ICICIC '08",
  year =         "2008",
  month =        "18-20 " # jun,
  pages =        "602--602",
  address =      "Dalian, Liaoning China",
  isbn13 =       "978-0-7695-3161-8",
  keywords =     "genetic algorithms, genetic programming, adaptable
                 evolutionary methods, particle swarm optimization,
                 evolutionary computation, particle swarm optimisation",
  URL =          "",
  DOI =          "doi:10.1109/ICICIC.2008.621",
  abstract =     "In this study we describe a method for extending
                 particle swarm optimization. We have presented a novel
                 approach for avoiding premature convergence to local
                 minima by the introduction of diversity in the swarm.
                 The swarm is made more diverse and is encouraged to
                 explore by employing a mechanism which allows each
                 particle to use a different equation to update its
                 velocity. This equation is also continuously evolved
                 through the use of genetic programming to ensure
                 adaptability. Results from experimentation show that
                 the modified PSO performs exceptionally well and is
                 very good at finding the exact optimum.",
  notes =        "Also known as \cite{4603791}",

Genetic Programming entries for Muhammad Rashid Abdul Rauf Baig