Modeling and Simulation for Optimizing Complex Dynamical Systems
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "D: Statistics and Operational Research".
Deadline for manuscript submissions: 31 January 2026 | Viewed by 392
Special Issue Editor
Interests: modeling and simulation; optimization; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The modeling and simulation (M&S) of dynamical systems are essential for solving problems across various fields of applied mathematics, including physics, biology, engineering, economics, and beyond. By employing diverse mathematical modeling techniques—such as differential equations, discrete-event system specification (DEVS), Petri nets, and cellular automata—practitioners can model complex dynamical systems and simulate (i.e., utilize or analyze) these models to better understand system behavior, improve and optimize performance, and even design new systems. Machine learning techniques, such as recurrent neural networks (RNNs), are an alternative to traditional mathematical modeling methods; recently, they have been effectively implemented when sufficient input–output data are available.
This Special Issue aims to compile the latest research achievements in the field of dynamical system M&S. We particularly seek contributions that not only focus on M&S but also explore the optimization of complex dynamical systems based on M&S. We welcome original research articles and comprehensive review papers on topics including, but not limited to, the following:
- Mathematical modeling methodologies for dynamical systems (e.g., new modeling formalisms);
- Efficient and accurate computational simulation methods (e.g., numerical methods, distributed/parallel simulation techniques);
- Simulation-based optimization techniques (e.g., ranking and selection, metaheuristics);
- Data-driven and machine learning approaches (e.g., physics-informed neural networks);
- Applications across various fields.
We look forward to receiving your contributions to this Special Issue.
Thank you for your consideration.
Dr. Seon Han Choi
Guest Editor
Manuscript Submission Information
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Keywords
- modeling and simulation
- optimization
- complex dynamical systems
- machine learning
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