Publication detail

Generation of Mathematic Models for Environmental Data Analysis

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"
}