Searching the landscape of flux vacua with genetic algorithms
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...
| Main Authors: | , , |
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| 格式: | 文件 |
| 语言: | English |
| 出版: |
SpringerOpen
2019-11-01
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| 丛编: | Journal of High Energy Physics |
| 主题: | |
| 在线阅读: | http://link.springer.com/article/10.1007/JHEP11(2019)045 |