Publication detail

Dominance and Recesivity in Genetic Algorithms

ROUPEC, J. KREJSA, J.

Original Title

Dominance and Recesivity in Genetic Algorithms

English Title

Dominance and Recesivity in Genetic Algorithms

Type

conference paper

Language

en

Original Abstract

Genetic Algorithms (GA) are heuristic optimising algorithms inspired by adaptive and evolutionary mechanisms in natural organisms. The best use of GA can be found in solving multidimensional optimisation problems, for which analytical solution is unknown (or extremely complex) and efficient numerical method is also not known. Commonly used GAs do not copy the natural processes precisely. The contribution shows how to realise some aspects of biological inheritance and how to use them while implementing the GA.

English abstract

Genetic Algorithms (GA) are heuristic optimising algorithms inspired by adaptive and evolutionary mechanisms in natural organisms. The best use of GA can be found in solving multidimensional optimisation problems, for which analytical solution is unknown (or extremely complex) and efficient numerical method is also not known. Commonly used GAs do not copy the natural processes precisely. The contribution shows how to realise some aspects of biological inheritance and how to use them while implementing the GA.

Keywords

Genetic Algorithm, Dominance, Recessivity

Released

26.06.1996

Publisher

VUT v Brně

Location

Brno, ČR

ISBN

80-214-0769-7

Book

Mendel 96

Pages from

197

Pages to

199

Pages count

3

BibTex


@inproceedings{BUT4163,
  author="Jan {Roupec} and Jiří {Krejsa}",
  title="Dominance and Recesivity in Genetic Algorithms",
  annote="Genetic Algorithms (GA) are heuristic optimising algorithms inspired by adaptive and evolutionary mechanisms in natural organisms. The best use of GA can be found in solving multidimensional optimisation problems, for which analytical solution is unknown (or extremely complex) and efficient numerical method is also not known. Commonly used GAs do not copy the natural processes precisely. The contribution shows how to realise some aspects of biological inheritance and how to use them while implementing the GA.",
  address="VUT v Brně",
  booktitle="Mendel 96",
  chapter="4163",
  institution="VUT v Brně",
  year="1996",
  month="june",
  pages="197",
  publisher="VUT v Brně",
  type="conference paper"
}