Definition
Evolutionary algorithms are a family of computational approaches inspired by natural selection that address two main topics: developing algorithms for optimization and understanding biological evolution. The former use is the more common, evolutionary algorithms being one of the main tools for parallel optimization. Indeed, they have been applied successfully to diverse optimization problems such as modeling the electrical properties of neurons (Achard and De Schutter 2006; Druckmann et al. 2007; Keren et al. 2009; Smolinski and Prinz 2009), automated writing of programs for specific tasks, and financial market modeling.
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Druckmann, S. (2015). Evolutionary Algorithms. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6675-8_159
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DOI: https://doi.org/10.1007/978-1-4614-6675-8_159
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