Genetic Algorithms in Astronomy and Astrophysics

Details Genetic Algorithms in Astronomy and Astrophysics Genetic Algorithms in Astronomy and Astrophysics

Dec 1995

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1995apjs..101..309c&link_type=abstract

Astrophysical Journal Supplement v.101, p.309

Astronomy and Astrophysics

Astronomy

279

Galaxies: Kinematics And Dynamics, Methods: Numerical, Stars: Mass Loss, Stars: Oscillations

Scientific paper

This paper aims at demonstrating, through examples, the applicability of genetic algorithms to wide classes of problems encountered in astronomy and astrophysics. Genetic algorithms are heuristic search techniques that incorporate, in a computational setting, the biological notion of evolution by means of natural selection. While increasingly in use in the fields of computer science, artificial intelligence, and computed-aided engineering design, genetic algorithms seem to have attracted comparatively little attention in the physical sciences thus far. The following three problems are treated: (1) modeling the rotation curve of galaxies, (2) extracting pulsation periods from Doppler velocities measurements in spectral lines of δ Scuti stars, and (3) constructing spherically symmetric wind models for rotating, magnetized solar-type stars. A listing of the genetic algorithm-based general purpose optimization subroutine PIKAIA, used to solve these problems, is given in the Appendix.

Affiliated with

Also associated with

No associations

Rating

Genetic Algorithms in Astronomy and Astrophysics does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Genetic Algorithms in Astronomy and Astrophysics, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Genetic Algorithms in Astronomy and Astrophysics will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1258778