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POPELKA, O. ŠŤASTNÝ, J.
Original Title
Generation of Mathematic Models for Environmental Data Analysis
Type
journal article - other
Language
English
Original Abstract
This paper describes the application of evolutionary algorithms to environmental and economical data analysis. The standard genetic algorithm and its operators are described. In particular the extension to the genetic algorithm a grammatical evolution algorithm was used to generate automatically new regression models of crop yield data. The grammatical evolution is an algorithm capable of generating symbolic representations of mathematical models. The grammar used for generating the models in symbolic form is described and two new generated models are presented and the results are compared to an existing empirical model.
Keywords
grammatical evolution, symbolic regression, genetic algorithms
Authors
POPELKA, O.; ŠŤASTNÝ, J.
RIV year
2007
Released
12. 7. 2007
ISBN
1583-624X
Periodical
Management and Economical Engineering
Year of study
2007/6
Number
23
State
Romania
Pages from
61
Pages to
66
Pages count
6
BibTex
@article{BUT44739, author="Ondřej {Popelka} and Jiří {Šťastný}", title="Generation of Mathematic Models for Environmental Data Analysis", journal="Management and Economical Engineering", year="2007", volume="2007/6", number="23", pages="61--66", issn="1583-624X" }