Publication detail

Generation of Mathematic Models for Environmental Data Analysis

POPELKA, O. ŠŤASTNÝ, J.

English title

Generation of Mathematic Models for Environmental Data Analysis

Type

Peer-reviewed article not indexed in WoS or Scopus

Language

en

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 in English

grammatical evolution, symbolic regression, genetic algorithms

Released

2007-07-12

ISSN

1583-624X

Volume

2007/6

Number

23

Pages from–to

61–66

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"
}