Topics
The DS Journal of Modeling and Simulation provides an advanced forum for studies related to the development and applications of modeling and simulation techniques. It welcomes technical papers on new developments and their implications, papers on applications of existing techniques in science and engineering, survey papers on state-of-the-art as well as short communications on current events. The journal aims at being a reference and a powerful tool for all those professionally active and/or interested in the methods and applications of simulation. It also aims to encourage scientists to publish their model developments and simulation results in as much detail as possible. There is no restriction on the length of the papers. The full details on modeling, calibration, validation, and application must be provided so that the results can be reproduced. Electronic files and software regarding the full details of the algorithmic formulations, implementations, validation examples, and computational applications, if unable to be published in a normal way, can be deposited as supplementary electronic material.
The papers are demanded, but not limited to, the following topics:
- Modeling and Simulation Theory and Methodology
- Modeling and Simulation Languages
- Optimization in Modeling and Simulation
- Agent-based Modeling and Simulation
- Data-driven Modeling and Simulation
- Applications of Modeling and Simulation
- Modeling and Simulation of Continuous Systems/Discrete Systems/Hybrid Systems/Intelligent Systems
- Modeling and Simulation Technology of Complex Systems/System of Systems/Cyber-Physical Systems
- Model Engineering / Model-based System Engineering
- Mathematical Modeling (Stochastic And Probabilistic Modeling, Continuum and Discrete Modeling, Graph Theory, Algebraic Coding, Behavioural Language)
- Conceptual Modeling
- Complex System Modeling
- Stochastic and Polymorphic Uncertainty Models
- Model Verification and Validation
- Neural and Fuzzy Modeling
- Numerical Modeling of Materials, Structures, Processes, and Systems
- Model-Free (Experimental) Modeling
- Formal Methods of Simulation (Monte Carlo Method, Planning and Scheduling, Ontologies, Real-Time Systems, Stochastic Method, Dynamic Method, Nonlinear Method, Optimization, Distributed and Parallel Computing, Mathematical Method, Decision Support, Risk Analysis, Verification and Validation, Multi-Scale Analysis)
- Business Systems Simulation
- Computational Simulation Methodologies
- High-Performance Simulation
- Intelligent Simulation
- Knowledge-Based Simulation Environments
- Methodology for Analysing Simulation Output
- Simulation Application Techniques
- Simulation Applications in Different Disciplines
- Simulation-Based Acquisition / Virtual Prototyping / Digital Twin
- Simulation Software, Simulators
- Simulation Supporting Tools and Platforms