Sunspot prediction using genetic programming augmented by Binary String Fitness Characterisation and Comparative Partner Selection

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@InProceedings{Day:2008:MLSP,
  author =       "Peter Day and Asoke K. Nandi",
  title =        "Sunspot prediction using genetic programming augmented
                 by Binary String Fitness Characterisation and
                 Comparative Partner Selection",
  booktitle =    "IEEE Workshop on Machine Learning for Signal
                 Processing, MLSP 2008",
  year =         "2008",
  month =        oct,
  pages =        "175--180",
  keywords =     "genetic algorithms, genetic programming, binary string
                 fitness characterisation, comparative partner
                 selection, pair-wise mating strategy, population-wide
                 weaknesses, sunspot prediction, prediction theory,
                 string matching, sunspots",
  DOI =          "doi:10.1109/MLSP.2008.4685475",
  ISSN =         "1551-2541",
  abstract =     "The paper addresses the sunspot prediction problem
                 using a novel strategy for evaluating individual's
                 relative strengths and weaknesses, by representing
                 these in the form of a binary string fitness
                 characterisation (BSFC), in addition to an overall
                 fitness value for each individual. Using a combination
                 of the BSFC and a pair-wise mating strategy,
                 comparative partner selection (CPS), appears to promote
                 effective solutions by reducing population-wide
                 weaknesses. This strategy offers better solution to the
                 sunspot prediction problem.",
  notes =        "Also known as \cite{4685475}",
}

Genetic Programming entries for Peter Day Asoke K Nandi

Citations