Skip to main content

Research Repository

Advanced Search

Genetic Algorithms and the Search for Viable String Vacua

Abel, S.A.; Rizos, J.

Genetic Algorithms and the Search for Viable String Vacua Thumbnail


Authors

J. Rizos



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.

Citation

Abel, S., & Rizos, J. (2014). Genetic Algorithms and the Search for Viable String Vacua. Journal of High Energy Physics, 2014(8), Article 10. https://doi.org/10.1007/jhep08%282014%29010

Journal Article Type Article
Publication Date Aug 1, 2014
Deposit Date Oct 22, 2014
Publicly Available Date Mar 29, 2024
Journal Journal of High Energy Physics
Print ISSN 1126-6708
Publisher Scuola Internazionale Superiore di Studi Avanzati (SISSA)
Peer Reviewed Peer Reviewed
Volume 2014
Issue 8
Article Number 10
DOI https://doi.org/10.1007/jhep08%282014%29010
Related Public URLs http://arxiv.org/abs/arXiv:1404.7359

Files

Published Journal Article (2 Mb)
PDF

Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright 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.





You might also like



Downloadable Citations