Genetic Algorithms and Genetic Programming

By P. Ponce-Cruz, Fernando D. Ramirez-Figueroa. 2010

434 citations recorded by the source corpus.

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Deep Learning for Financial Applications : A Survey (2020, background): “[12] wrote a book covering GAs and Genetic Programming (GP) in Computational Finance.”
GA: A Package for Genetic Algorithms in R (2013, background): “…which are able to solve optimization problems of the type described in Equation 1, both for continuous (whether di ↵ erentiable or not) and discrete functions (A ↵ enzeller and Winkler 2009; Back, Fogel, and Michalewicz 2000a,b; Coley 1999; Eiben and Smith 2003; Haupt and Haupt 2004; Spall 2003).”
Contemporary Symbolic Regression Methods and their Relative Performance (2021, background): “These attractive properties of SR have led to its application in a number of areas, such as physics [3], biology [4], clinical informatics [5], climate modeling [6], finance [7], and many fields of engineering [8–10].”