Searching the landscape of flux vacua with genetic algorithms


Type
Article
Change log
Authors
Schachner, A 
Shiu, G 
Abstract

In this paper, we employ genetic algorithms to explore the landscape of type IIB flux vacua. We show that genetic algorithms can efficiently scan the landscape for viable solutions satisfying various criteria. More specifically, we consider a symmetric T6 as well as the conifold region of a Calabi-Yau hypersurface. We argue that in both cases genetic algorithms are powerful tools for finding flux vacua with interesting phenomenological properties. We also compare genetic algorithms to algorithms based on different breeding mechanisms as well as random walk approaches.

Description
Keywords
Superstring Vacua, Flux compactifications
Journal Title
Journal of High Energy Physics
Conference Name
Journal ISSN
1126-6708
1029-8479
Volume Title
2019
Publisher
Springer Science and Business Media LLC