Genetic Programming for the Reconstruction of Delay Differential Equations in Economics

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{tonelli:2024:GECCOcomp,

• author = "Teresa Tonelli and Gloria Pietropolli and Gabriele Sbaiz and Luca Manzoni",
• title = "Genetic Programming for the Reconstruction of Delay Differential Equations in Economics",
• booktitle = "GECCO Student Workshop",
• year = "2024",
• editor = "Amir H Gandomi",
• pages = "2119--2122",
• address = "Melbourne, Australia",
• series = "GECCO '24",
• month = "14-18 " # jul,
• organisation = "SIGEVO",
• publisher = "Association for Computing Machinery",
• publisher_address = "New York, NY, USA",
• keywords = "genetic algorithms, genetic programming, symbolic regression, differential equations, delay differential equations, kalecki's business cycle model",
• isbn13 = "979-8-4007-0495-6",
• DOI = "doi:10.1145/3638530.3664164",
• size = "4 pages",
• abstract = "In this paper we explore the reconstruction of a delay differential equation (DDE) model from economics, the Kalecki's business cycle model, with a variant of genetic programming (GP) encoding the structure of DDEs. The results of this preliminary work show that GP can correctly reconstruct the model starting only from approximated data, showing that the investigation of GP for interpretable reconstruction of DDEs can be a worthwile research direction.",
• notes = "GECCO-2024 Student Workshop A Recombination of the 33rd International Conference on Genetic Algorithms (ICGA) and the 29th Annual Genetic Programming Conference (GP)",

}

Genetic Programming entries for Teresa Tonelli Gloria Pietropolli Gabriele Sbaiz Luca Manzoni

Citations