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

The paper addresses the sunspot prediction problem utilising a novel strategy for evaluating individualpsilas 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. Utilising 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.