Mathematics – Logic
Scientific paper
Nov 2004
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004aps..ses.dd005w&link_type=abstract
American Physical Society, 71st Annual Meeting of the Southeastern Section, 11-13 November, 2004, Oak Ridge, TN. MEETING ID: S
Mathematics
Logic
Scientific paper
Genetic algorithms are search techniques in which operations are analogous to processes in biological evolution such as natural selection and mutation. They can be employed as robust numerical optimizers on problems that would normally be problematic because of ill-behaved search spaces. Genetic algorithms differ from more conventional, hill-climbing, strategies in that they are global optimization methods that are less likely to terminate at local maxima. We have applied a genetic algorithm to several problems in physics and astronomy, and intend to apply it shortly to parameterization of cross sections for nuclear reaction libraries used extensively in simulations of explosive nucleosynthesis in astrophysical environments such as novae, X-ray bursts, and supernovae. We are also investigating the application of genetic algorithms to the modeling of interacting galaxies. Such modeling could provide a deeper understanding of galaxy formation, as well as "peculiar" galaxies that exhibit such structures as bridges and tidal tails.
Guidry Michael
Williams Kevin
No associations
LandOfFree
Application of Genetic Algorithms to a variety of problems in Physics and Astronomy 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 Application of Genetic Algorithms to a variety of problems in Physics and Astronomy, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Application of Genetic Algorithms to a variety of problems in Physics and Astronomy will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1010100