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Searching the Landscape of Flux Vacua with Genetic Algorithms

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arxiv 1907.10072 v2 pith:5UHRW67V submitted 2019-07-23 hep-th cs.NE

Alex Cole , Andreas Schachner , Gary Shiu This is my paper
classification hep-thcs.NE
keywords algorithmsgeneticfluxlandscapevacuawellapproachesargue
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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 $T^{6}$ 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.

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Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

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