Abstract
Evolutionary algorithms (EAs) are a broad class of stochastic optimization algorithms, inspired by biology and in particular by those biological processes that allow populations of organisms to adapt to their surrounding environment: genetic inheritance and survival of the fittest. These concepts were introduced in the 19th century by Charles Darwin [50] and are still today widely acknowledged as valid, even though complemented with further details [52].
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© 2001 Springer-Verlag Berlin Heidelberg
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Tettamanzi, A., Tomassini, M. (2001). Evolutionary Algorithms. In: Soft Computing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-04335-6_1
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DOI: https://doi.org/10.1007/978-3-662-04335-6_1
Publisher Name: Springer, Berlin, Heidelberg
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