Abel, S.A. and Rizos, J. (2014) 'Genetic algorithms and the search for viable string vacua.', Journal of high energy physics., 2014 (8). p. 10.
Genetic Algorithms are introduced as a search method for finding string vacua with viable phenomenological properties. It is shown, by testing them against a class of Free Fermionic models, that they are orders of magnitude more efficient than a randomised search. As an example, three generation, exophobic, Pati-Salam models with a top Yukawa occur once in every 1010 models, and yet a Genetic Algorithm can find them after constructing only 105 examples. Such non-deterministic search methods may be the only means to search for Standard Model string vacua with detailed phenomenological requirements.
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|Publisher Web site:||http://dx.doi.org/10.1007/JHEP08(2014)010|
|Publisher statement:||© 2014 The Authors. This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits any use, distribution and reproduction in any medium, provided the original author(s) and source are credited.|
|Date accepted:||No date available|
|Date deposited:||17 December 2014|
|Date of first online publication:||August 2014|
|Date first made open access:||No date available|
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