The scope of papers published in TOMACS includes, but is not limited to, the following general areas:
Modeling Methodology: modeling languages, model reuse, component-based approaches, agent-based approaches, multi-formalism modeling, hierarchical, multi-level modeling, meta modeling and visual modeling, composition and refinement of models, hybrid modeling.
Model Execution: development and analysis of algorithms and data structures, approximative algorithms, hybrid algorithms, parallel algorithms, including GPU based approaches, distributed simulation, grid-based and cloud-based execution, inter-operation of simulation systems, distributed simulations for training, test and evaluation purposes, data driven simulation.
Random numbers and objects: random number generators and testing, low-discrepancy sequences, random variate transformations, stochastic process and random object generators, statistical distribution fitting and data modeling.
Experiment design and simulation analysis: analysis of the stochastic nature of simulation output and algorithms, including rare event simulation, simulation-based optimization and search, sensitivity analysis, variance reduction techniques and Markov chain Monte Carlo approaches.
Verification, validation, and accreditation of models: detailed studies, workflow-based support, addressing questions of provenance, statistical model checking, reproducibility of simulation results
Interplay between other areas of computer science and simulation: simulation for decision support, workflows, artificial intelligence, virtual reality, big data, service-oriented approaches, grid-computing, visual analytics, probabilistic programming.
Advanced Applications: Novel techniques and tools for simulating specific complex systems such as those arising in communication networks, computer science, cyber physical systems, health care, manufacturing, social science, systems biology, systems medicine, transportation systems.