About this Research Topic
solving complex real-world problems. It is also considered a sub-branch of AI, which has the
operation is inspired by natural computational methods. The recent advancement of
computational intelligence has been extensively applied in various fields such as industry,
agriculture, business, sciences, and social media. Computational intelligence paradigms have
numerous branches, including neural networks, fuzzy systems, swarm intelligence, neuro-fuzzy,
and evolutionary computation. Recently, many studies have shown that the computational
intelligence method is more effective than traditional methods, especially in the case of complex
systems with existent uncertainties and disturbances.
The primary purpose of this research topic is to provide cutting-edge research in computational
intelligence techniques. This special issue invites original research and review articles that
cover novel theories, innovative methods, and meaningful applications of computational
intelligence.
The scope of the research will include, but is not limited to:
- Computational Intelligence
- Applied Soft Computing
- Intelligent control system
- Neural networks
- Fuzzy systems, Type-2 Fuzzy system
- Fuzzy neural networks, Hybrid fuzzy model
- Swarm intelligence and Evolutionary computation
Keywords: Computational Intelligence, Applied Soft Computing, Intelligent control system, Neural networks, Fuzzy systems, Type-2 Fuzzy system, Fuzzy neural networks, Hybrid fuzzy model, Swarm intelligence, Evolutionary computation
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.