Evolutionary Algorithms

Andrea Tettamanzi () and Marco Tomassini ()
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Andrea Tettamanzi: University of Milan, Information Technology Department
Marco Tomassini: University of Lausanne, Computer Science Institute

Chapter Chapter 1 in Soft Computing, 2001, pp 1-48 from Springer

Abstract: 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].

Keywords: Evolutionary Algorithm; Genetic Programming; Portfolio Optimization; Genetic Operator; Efficient Frontier (search for similar items in EconPapers)
Date: 2001
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DOI: 10.1007/978-3-662-04335-6_1

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