Zusammenfassung
EA sind in den unterschiedlichsten Problemräumen anwendbar. In den letzten zehn Jahren sind daher viele Anstrengungen unternommen worden, EA mit anderen Optimierungsmethoden oder maschinellen Lernstrategien (ML-Strategien) zu kombinieren. Daraus entstanden sogenannte Hybridsysteme, die darauf abzielen, Vorteile verschiedener Ansätze zu kombinieren. Besonders aus der Kombination von Technologien des Soft Computing können für Unternehmen strategisch bedeutsame Innovationen entstehen.
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Nissen, V. (1997). Hybridsysteme. In: Einführung in Evolutionäre Algorithmen. Computational Intelligence. Vieweg+Teubner Verlag. https://doi.org/10.1007/978-3-322-93861-9_8
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