Abel, S.A. and Rizos, J. (2014) 'Genetic algorithms and the search for viable string vacua.', Journal of high energy physics., 2014 (8). p. 10.
Abstract
Genetic Algorithms are introduced as a search method for finding string vacua with viable phenomenological properties. It is shown, by testing them against a class of Free Fermionic models, that they are orders of magnitude more efficient than a randomised search. As an example, three generation, exophobic, Pati-Salam models with a top Yukawa occur once in every 1010 models, and yet a Genetic Algorithm can find them after constructing only 105 examples. Such non-deterministic search methods may be the only means to search for Standard Model string vacua with detailed phenomenological requirements.
| Item Type: | Article |
|---|---|
| Full text: | (VoR) Version of Record Available under License - Creative Commons Attribution. Download PDF (1955Kb) |
| Status: | Peer-reviewed |
| Publisher Web site: | http://dx.doi.org/10.1007/JHEP08(2014)010 |
| Publisher statement: | © 2014 The Authors. This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits any use, distribution and reproduction in any medium, provided the original author(s) and source are credited. |
| Date accepted: | No date available |
| Date deposited: | 17 December 2014 |
| Date of first online publication: | August 2014 |
| Date first made open access: | No date available |
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