Meteorological Data Analysis and Prediction by Means of Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InProceedings{Bautu:2006:mmelsp,

• author = "Andrei Bautu and Elena Bautu",
• title = "Meteorological Data Analysis and Prediction by Means of Genetic Programming",
• booktitle = "Proceedings of the Fifth Workshop on Mathematical Modelling of Environmental and Life Sciences Problems",
• year = "2006",
• pages = "35--42",
• address = "Constanta, Romania",
• month = sep,
• keywords = "genetic algorithms, genetic programming",
• annote = "The Pennsylvania State University CiteSeerX Archives",
• bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",
• language = "en",
• oai = "oai:CiteSeerX.psu:10.1.1.613.3355",
• rights = "Metadata may be used without restrictions as long as the oai identifier remains attached to it.",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.613.3355",
• broken = "http://www.ima.ro/mmelsp_series/mmelsp_08_papers/bautu01_08.pdf",
• size = "8 pages",
• abstract = "Weather systems use extremely complex combinations of mathematical tools for analysis and forecasting. Unfortunately, due to phenomena in the world climate, such as the greenhouse effect, classical models may become inadequate mostly because they lack adaptation. Therefore, the weather prediction problem is suited for heuristic approaches, such as Evolutionary Algorithms. Experimentation with heuristic methods like Genetic Programming (GP) can lead to the development of new insights or promising models that can be fine tuned with more focused techniques. This paper describes a GP approach for analysis and prediction of data and provides experimental results of the afore mentioned method on real-world meteorological time series.",

}

Genetic Programming entries for Andrei Bautu Elena Bautu

Citations