Journal article
Computational intelligence in modeling complex systems and solving complex problems
Complexity, Vol.2019, pp.1-6
2019
Abstract
In the special issue on computational intelligence (CI) and complex systems a plethora of approaches is presented on how to apply computation intelligence in modeling, control, decision support, and optimization of complex problems. The three main components of CI are fuzzy systems, evolutionary and population based algorithms, and artificial neural networks. In addition, there are other related techniques, among others, chaos theory and subjective probability. Often, the combinations and hybrids of these methods, sometimes complemented by classic mathematical or modeling tools, turn out to be most efficient in the solution of real life problems. In the series of 26 papers, illustrations for almost all of these methods may be found...
Details
- Title
- Computational intelligence in modeling complex systems and solving complex problems
- Authors/Creators
- L.T. Kóczy (Author/Creator) - Budapest University of Technology and EconomicsJ. Medina (Author/Creator) - Universidad de CádizM. Reformat (Author/Creator) - University of AlbertaK.W. Wong (Author/Creator) - Murdoch UniversityJ.H. Yoon (Author/Creator) - Budapest University of Technology and Economics
- Publication Details
- Complexity, Vol.2019, pp.1-6
- Publisher
- Hindawi Publishing
- Identifiers
- 991005543080307891
- Copyright
- © 2019 Laszlo T. Koczy et al.
- Murdoch Affiliation
- School of Engineering and Information Technology
- Language
- English
- Resource Type
- Journal article
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- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 4 Electrical Engineering, Electronics & Computer Science
- 4.61 Artificial Intelligence & Machine Learning
- 4.61.56 Fuzzy Decision-Making
- Web Of Science research areas
- Mathematics, Interdisciplinary Applications
- ESI research areas
- Mathematics