Evolutionary Computation in High Energy Physics
| dc.creator | Teodorescu, Liliana | |
| dc.date | 2008-04-02 | |
| dc.date.accessioned | 2026-07-07T09:29:52Z | |
| dc.date.available | 2026-07-07T09:29:52Z | |
| dc.description | Evolutionary Computation is a branch of computer science with which, traditionally, High Energy Physics has fewer connections. Its methods were investigated in this field, mainly for data analysis tasks. These methods and studies are, however, less known in the high energy physics community and this motivated us to prepare this lecture. The lecture presents a general overview of the main types of algorithms based on Evolutionary Computation, as well as a review of their applications in High Energy Physics. | |
| dc.description | Lecture presented at 2006 Inverted CERN School of Computing; to be published in the school proceedings (CERN Yellow Report) | |
| dc.identifier | https://arxiv.org/abs/0804.0369 | |
| dc.identifier | http://arxiv.org/abs/0804.0369 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/157949 | |
| dc.subject | Data Analysis, Statistics and Probability | |
| dc.subject | High Energy Physics - Experiment | |
| dc.title | Evolutionary Computation in High Energy Physics | |
| dc.type | text |