On the genetic programming of time-series predictors for supply chain management

@inproceedings{Agapitos2008OnTG,
  title={On the genetic programming of time-series predictors for supply chain management},
  author={Alexandros Agapitos and Matthew Dyson and Jenya Kovalchuk and Simon M. Lucas},
  booktitle={GECCO},
  year={2008}
}
Single and multi-step time-series predictors were evolved for forecasting minimum bidding prices in a simulated supply chain management scenario. Evolved programs were allowed to use primitives that facilitate the statistical analysis of historical data. An investigation of the relationships between the use of such primitives and the induction of both accurate and predictive solutions was made, with the statistics calculated based on three input data transformation methods: integral… CONTINUE READING
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Genetic programming polynomial models of financial data series

  • H. Iba, N. Nikolaev
  • In Proceedings of the IEEE
  • 2000
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