Collective Intelligence of Genetic Programming for Macroeconomic Forecasting

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

@InProceedings{conf/iccci/DudaS11,

• author = "Jerzy Duda and Stanislaw Szydlo",
• title = "Collective Intelligence of Genetic Programming for Macroeconomic Forecasting",
• booktitle = "Proceedings of the Third International Conference on Computational Collective Intelligence. Technologies and Applications (ICCCI 2011) Part {II}",
• year = "2011",
• editor = "Piotr Jedrzejowicz and Ngoc Thanh Nguyen and Kiem Hoang",
• volume = "6923",
• series = "Lecture Notes in Computer Science",
• pages = "445--454",
• address = "Gdynia, Poland",
• month = sep # " 21-23",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-3-642-23937-3",
• DOI = "doi:10.1007/978-3-642-23938-0_45",
• size = "10 pages",
• abstract = "A collective approach to the problem of developing forecasts for macroeconomic indicators is presented in the paper. The main advantage of genetic programming over artificial neural networks is that it generates human readable mathematical expressions that can be interpreted by a decision-maker. Gene expression programming used in the paper is an example of collective adaptive system, but we propose to use a collective intelligence to develop not only one forecasting model, but a set of models, from which the most suitable one can be chosen automatically or manually by the decision-maker.",
• notes = "GDP estimation",
• affiliation = "Department of Applied Computer Science, AGH University, Poland",
• bibdate = "2011-09-13",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/iccci/iccci2011-2.html#DudaS11",

}

Genetic Programming entries for Jerzy Duda Stanislaw Szydlo

Citations