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

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