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Computational Intelligence - A Methodological Introduction
Kruse, Rudolf ; Mostaghim, Sanaz ; Borgelt, Christian ; Braune, Christian ; Steinbrecher, MatthiasCham: Imprint: Springer, 2022., 1 Online-Ressource(XIV, 639 p. 324 illus., 42 illus. in color.) - (Texts in Computer Science; Springer eBook Collection), ISBN: 978-3-030-42227-1
Unsere Arbeitsgruppe Computational Intelligence befasst sich mit Methoden der Künstlichen Intelligenz, wobei derzeit insbesondere neue Methoden zur Intelligenten Datenanalyse erforscht werden. Wir nutzen häufig Methoden aus den Bereichen der Neuronalen Netze, der Fuzzy-Systeme, der Evolutionären Algorithmen, der Bayesschen Netze und des approximativen Schließens. Diese Methoden sind besonders geeignet, in Anwendungen einfach zu handhabende, robuste und günstige Problemlösungen zu finden.
Our major focus in research and teaching is on Intelligent Systems, particularly Computational Intelligence and Swarm Intelligence.
Computational Intelligence is an important tool for dealing with complex systems and can be used everywhere: automotive industry, medical applications, chemistry, geology, entrepreneurship, system design, games, biology, etc. In this area, we work on evolutionary algorithms, particle swarm optimization and their applications on multi-objective problems.
Furthermore, we study algorithms and different applications of Swarm Intelligence in optimization, swarm robotics, and distributed systems. Swarm Intelligence is a collective learning mechanism with the goal to achieve a global complex and intelligent behavior using simple rules on simple technical devices.
Computational Intelligence is an important tool for dealing with complex systems and can be used everywhere: automotive industry, medical applications, chemistry, geology, entrepreneurship, system design, games, biology, etc. In this area, we work on evolutionary algorithms, particle swarm optimization and their applications on multi-objective problems.
Furthermore, we study algorithms and different applications of Swarm Intelligence in optimization, swarm robotics, and distributed systems. Swarm Intelligence is a collective learning mechanism with the goal to achieve a global complex and intelligent behavior using simple rules on simple technical devices.
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