The string theory landscape may include a multitude of ultraviolet embeddings
of the Standard Model, but identifying these has proven difficult due to the
enormous number of available string compactifications. Genetic Algorithms (GAs)
represent a powerful class of discrete optimisation techniques that can
efficiently deal with the immensity of the string landscape, especially when
enhanced with input from quantum annealers. In this letter we focus on
geometric compactifications of the $E_8\times E_8$ heterotic string theory
compactified on smooth Calabi-Yau threefolds with Abelian bundles. We make use
of analytic formulae for bundle-valued cohomology to impose the entire range of
spectrum requirements, something that has not been possible so far. For
manifolds with a relatively low number of Kahler parameters we compare the GA
search results with results from previous systematic scans, showing that GAs
can find nearly all the viable solutions while visiting only a tiny fraction of
the solution space. Moreover, we carry out GA searches on manifolds with a
larger numbers of Kahler parameters where systematic searches are not feasible.

文中介绍了应用遗传算法在 Calabi-Yau 三倍体上搜寻超弦理论的紧致化形式，能够解决系统性搜索无法完成的问题，并且在小数量的 Kahler 参数的情况下，遗传算法能够找到几乎所有可行的解决方案。