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 10
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
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- modeling and simulation
- optimization
- complex dynamical systems
- machine learning
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue policies can be found here.
