- author = "Javier {Martinez Canillas} and Roberto Sanchez and Benjamin Baran",
- title = "Estimation Models Generation using Linear Genetic Programming",
- journal = "CLEI Electronic Journal",
- year = "2009",
- volume = "13",
- number = "3",
- pages = "paper 4",
- month = dec,
- note = "Regular Issue and Special Issue of Best Papers presented at CLEI 2008, Santa Fe, Argentina",
- keywords = "genetic algorithms, genetic programming, economic indicators, time series, forecasting",
- ISSN = "0717-5000",
-
URL = "
http://www.clei.cl/cleiej/papers/v12i3p4.pdf",
-
URL = "
http://www.clei.cl/cleiej/paper.php?id=172",
- size = "8 pages",
-
abstract = "he use of decision rules and estimation techniques is
increasingly common for decision making. In recent
years studies were conducted which applies Genetic
Programming (GP) to obtain rules to make predictions. A
new branch in the area of Evolutionary Algorithms (EA)
is Linear Genetic Programming (LGP). LGP evolves
instructions sequences of an imperative programming
language. This paper proposes estimation models
generation for time series forecasting using LGP. The
forecasting result for the Consumer Price Index (CPI)
and the price of soybeans per ton shows the potential
of this new proposal.
Spanish Abstract:
El uso de reglas de decision y tecnicas de estimacion es cada vez mas coman para la toma de decisiones. Recientemente se han hecho estudios usando programacion genetica para obtener reglas que hagan predicciones. Una area novedosa dentro de los algoritmos evolutivos es la programacion genetica lineal (LGP). LGP evoluciona secuencias de instrucciones de un lenguaje imperativo. Este trabajo propone generar modelos de estimacion para la prediccion de series de tiempo usando LGP. El resultado de la prediccion para el indice de precios al consumidor y el precio de la soja por tonelada muestra el potencial de esta propuesta.",
- notes = "CLEI (Latin-american Center for Informatics Studies) http://www.clei.cl/cleiej/index.html",
