Genetic programming approach for positron collisions with alkali-metal atom

Amr M. Radi, Salah Yaseen El-Bakry

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Genetic Programming (GP) has been used to discover the function that describes the collisions of positrons with sodium, potassium, rubidium and cesium atoms at low and intermediate energies. The discovered function shows a good match to the experimental data. We find that the GP technique is able to improve upon more traditional methods.

Original languageEnglish
Title of host publicationProceedings of GECCO 2007
Subtitle of host publicationGenetic and Evolutionary Computation Conference
Number of pages1
DOIs
Publication statusPublished - 2007
Event9th Annual Genetic and Evolutionary Computation Conference, GECCO 2007 - London, United Kingdom
Duration: Jul 7 2007Jul 11 2007

Other

Other9th Annual Genetic and Evolutionary Computation Conference, GECCO 2007
CountryUnited Kingdom
CityLondon
Period7/7/077/11/07

Keywords

  • Alkali-metal atoms and total collisional cross sections
  • Genetic programming
  • Positron collisions

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Theoretical Computer Science

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  • Cite this

    Radi, A. M., & El-Bakry, S. Y. (2007). Genetic programming approach for positron collisions with alkali-metal atom. In Proceedings of GECCO 2007: Genetic and Evolutionary Computation Conference https://doi.org/10.1145/1276958.1277306