Computational Intelligence for Complex Systems
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: 20 June 2025 | Viewed by 795
Special Issue Editor
Special Issue Information
Dear Colleagues,
Complex systems and computational intelligence are two emerging scientific fields that will enhance our understanding of complex real-world problems. On the one hand, by analyzing problems from a complex systems perspective, we can capture the nonlinear interactions between all the components of the system and understand the complex behavior that emerges on a global scale. On the other hand, computational intelligence is a novel approach to addressing high-dimensional problems involving tons of data by leveraging nature-inspired computational methodologies.
The main reason behind the explosion of both these fields during the 21st century is the availability of large amounts of data. In the past, our ability to build accurate datasets to solve real-word problems was limited by the absence of high-resolution data. Hence, our newly acquired ability to store, share, and analyze data has driven the application of these two disciplines to a wide range of systems, including financial markets, social media, politics, agriculture, food supply chain, and mobility, just to name a few examples.
In this Special Issue, we welcome contributions advancing the cutting-edge research of complex systems and computational intelligence methods, as well as their applications in all areas, among which we highlight finance, communications, mobility, computational sociology, agriculture, and food.
The topics of interest include, but are not limited to, the following:
- Network Science;
- Complex Systems;
- Networks for good;
- Machine Learning;
- Data Analytics;
- Neural networks;
- Graph Neural Networks;
- Reservoir Computing;
- Econophysics;
- Mathematical economics;
- Social Networks;
- Mobility;
- Food supply chain;
- Smart agriculture;
- Network epidemiology.
Dr. Javier Borondo
Guest Editor
Manuscript Submission Information
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Keywords
- network science
- complex systems
- machine learning
- reservoir computing
- econophysics
- social networks
- markets
- smart agriculture
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