Physics

Sociology

Organic chemistry

Pure mathematics

Population

Mathematics

Brane cosmology

Genetic algorithm

Algorithm

Random walk

Statistics

Mathematical optimization

Hypersurface

Demography

Chemistry

Theoretical physics

Conifold

Computer science

Fitness landscape

Flux (metallurgy)

Journal of High Energy Physics

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.

Searching the landscape of flux vacua with genetic algorithms