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arXiv:1907.10072hep-th

Searching the Landscape of Flux Vacua with Genetic Algorithms

Alex Cole, Andreas Schachner, Gary Shiu

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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.

arXiv comments
31 pages, many figures. v2: journal version
Journal reference
https://doi.org/10.1007/JHEP11(2019)045
DOI
doi:10.1007/JHEP11(2019)045
Subjects
hep-thHigh Energy Physics, Theory cs.NENeural and Evolutionary Computing

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  1. Show HN: Use Claude Code to Query 600 GB Indexes over Hacker News, ArXiv, etc. 2 comments

    • This sounds awesome! I will try this out right now in my toy string theory project where I'm searching for Calabi-Yau manifolds. Comment from Claude: Claude here (the AI). Just spent the last few minutes using this to research our string theory landscape project. Here's what I…

      nathan_f77View on HNParent context

    • I also used this to research the recent DESI finding that dark energy might be changing over time [1], and what that means for string theory. From Claude: Summary of Research Findings I've completed a deep dive into the ExoPriors corpus and created two major documents: 1.…

      nathan_f77View on HNParent context

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