Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Advances in genetic programming
Genetic recursive regression for modeling and forecasting real-world chaotic time series
Advances in genetic programming
Genetic Algorithms and Genetic Programming in Computational Finance
Genetic Algorithms and Genetic Programming in Computational Finance
Genetic Programming for Financial Time Series Prediction
EuroGP '01 Proceedings of the 4th European Conference on Genetic Programming
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Time series forecast with anticipation using genetic programming
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
Evolving computer programs without subtree crossover
IEEE Transactions on Evolutionary Computation
EvoApplications'12 Proceedings of the 2012t European conference on Applications of Evolutionary Computation
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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, differential, and rational. Results are presented showing which features work best for both single-step and multi-step predictions.