Machine Learning in Computational Complex Systems
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E3: Mathematical Biology".
Deadline for manuscript submissions: 31 January 2026 | Viewed by 1838
Special Issue Editor
Special Issue Information
Dear Colleagues,
Machine learning has become essential for studying and managing computational complex systems, characterized by intricate, interdependent components and unpredictable behaviors. These systems span diverse fields, including biological networks, social systems, power models, and engineering infrastructures. By integrating machine learning, the modeling, analysis, and optimization of these systems can be improved, uncovering patterns and relationships that traditional methods may overlook. Advancements in machine learning are paving the way for more sophisticated approaches to managing and optimizing complex systems, enhancing their robustness, scalability, and adaptability in the face of growing complexity and uncertainty. Therefore, we are organizing this Special Issue, entitled “Machine Learning in Computational Complex Systems”, to stimulate researchers’ creativity and provide a platform for innovative ideas.
Dr. Duxin Chen
Guest Editor
Mengli Wei
Guest Editor Assistant
Manuscript Submission Information
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Keywords
- computational complex systems
- machine learning
- distributed control and optimization
- decentralized learning
- robust optimization and privacy protection in computational complex systems
- time series analysis in computational complex systems
- applications of computational complex systems
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