TY - RPRT U1 - Forschungsbericht A1 - Bartz-Beielstein, Thomas A1 - Branke, Jürgen A1 - Mehnen, Jörn A1 - Mersmann, Olaf T1 - Overview: Evolutionary Algorithms N2 - Evolutionary algorithm (EA) is an umbrella term used to describe population-based stochastic direct search algorithms that in some sense mimic natural evolution. Prominent representatives of such algorithms are genetic algorithms, evolution strategies, evolutionary programming, and genetic programming. On the basis of the evolutionary cycle, similarities and differences between these algorithms are described. We briefly discuss how EAs can be adapted to work well in case of multiple objectives, and dynamic or noisy optimization problems. We look at the tuning of algorithms and present some recent developments coming from theory. Finally, typical applications of EAs to real-world problems are shown, with special emphasis on data-mining applications T3 - CIplus - 2/2015 KW - Soft Computing KW - Versuchsplanung KW - Evolutionsstrategie KW - Evolutionärer Algorithmus KW - Metaheuristik KW - Optimierung KW - Optimierungsproblem KW - Evolutionäre Algorithmen KW - Evolutionsstrategien KW - Genetisches Programmieren KW - Genetische Algorithmen KW - Evolutionary Algorithms KW - Evolution Strategies KW - Genetic Algorithms KW - Genetic programming Y2 - 2015 U6 - https://nbn-resolving.org/urn:nbn:de:hbz:832-cos-777 UN - https://nbn-resolving.org/urn:nbn:de:hbz:832-cos-777 ER -