Artificial Intelligence and Computational Methods: Modeling, Simulations and Optimization of Complex Systems
Topic Information
Dear Colleagues,
Due to the increasing computational capability of current data processing systems, new opportunities emerge in the modeling, simulations, and optimization of complex systems and devices. Methods that are difficult to apply, highly demanding, and time-consuming may now be considered when developing complete and sophisticated models in many areas of science and technology. The combination of computational methods and AI algorithms allows conducting multi-threaded analyses to solve advanced and interdisciplinary problems. This article collection aims to bring together research on advances in modeling, simulations, and optimization issues of complex systems. Original research, as well as review articles and short communications, with a particular focus on (but not limited to) artificial intelligence and other computational methods, are welcomed.
Prof. Dr. Jaroslaw Krzywanski
Dr. Yunfei Gao
Dr. Marcin Sosnowski
Dr. Karolina Grabowska
Dr. Dorian Skrobek
Dr. Ghulam Moeen Uddin
Dr. Anna Kulakowska
Dr. Anna Zylka
Dr. Bachil El Fil
Topic Editors
Keywords
- artificial intelligence
- machine learning
- artificial neural networks
- deep learning
- genetic and evolutionary algorithms
- artificial immune systems
- fuzzy logic
- expert systems
- bio-inspired methods
- CFD
- modeling
- simulation
- optimization
- complex systems
Participating Journals
Entropy
Algorithms
Computation
Machine Learning and Knowledge Extraction
