Genetic and other evolutionary algorithms

János Madár, J. Abonyi

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

The evolutionary algorithm (EA) uses the computational model of natural selection for optimization. EA has proved particularly successful in applications that are difficult to formalize mathematically and that are therefore not easily handled by the engineering tools of classical analysis.

Original languageEnglish
Title of host publicationInstrument Engineers Handbook, Fourth Edition
Subtitle of host publicationProcess Control and Optimization
PublisherCRC Press
Pages181-192
Number of pages12
Volume2
ISBN (Electronic)9781420064001
ISBN (Print)9780849310812
Publication statusPublished - Jan 1 2005

Fingerprint

Evolutionary algorithms
engineering
optimization

ASJC Scopus subject areas

  • Engineering(all)
  • Physics and Astronomy(all)
  • Chemistry(all)
  • Chemical Engineering(all)

Cite this

Madár, J., & Abonyi, J. (2005). Genetic and other evolutionary algorithms. In Instrument Engineers Handbook, Fourth Edition: Process Control and Optimization (Vol. 2, pp. 181-192). CRC Press.

Genetic and other evolutionary algorithms. / Madár, János; Abonyi, J.

Instrument Engineers Handbook, Fourth Edition: Process Control and Optimization. Vol. 2 CRC Press, 2005. p. 181-192.

Research output: Chapter in Book/Report/Conference proceedingChapter

Madár, J & Abonyi, J 2005, Genetic and other evolutionary algorithms. in Instrument Engineers Handbook, Fourth Edition: Process Control and Optimization. vol. 2, CRC Press, pp. 181-192.
Madár J, Abonyi J. Genetic and other evolutionary algorithms. In Instrument Engineers Handbook, Fourth Edition: Process Control and Optimization. Vol. 2. CRC Press. 2005. p. 181-192
Madár, János ; Abonyi, J. / Genetic and other evolutionary algorithms. Instrument Engineers Handbook, Fourth Edition: Process Control and Optimization. Vol. 2 CRC Press, 2005. pp. 181-192
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