The International Journal of Simulation, Optimisation & Modelling focuses on advancing the theory, development, and application of simulation, optimisation, and modelling techniques across multidisciplinary domains. The journal welcomes original research articles, case studies, and review papers that contribute to the innovation and practical implementation of these fields. Topics of interest include, but are not limited to:

Simulation Techniques

Development and application of computational simulation tools.
Simulation of dynamic systems in engineering, science, and industrial processes.
Agent-based, discrete-event, and system dynamics simulation.
Real-time and hybrid simulation methods.

Optimisation Strategies

Novel optimisation algorithms, including metaheuristics, genetic algorithms, and swarm intelligence.
Multi-objective optimisation and trade-off analysis.
Optimisation in logistics, manufacturing, energy systems, and operations research.
Applications of machine learning in optimisation problems.

Modelling Methodologies

Mathematical and statistical modelling of complex systems.
Modelling for predictive analytics and decision-making processes.
Development of simulation-based models for testing and verification.
Modelling applications in healthcare, economics, transportation, and environmental systems.

Emerging Technologies and Applications

Integration of digital twins in simulation and modelling.
Artificial intelligence-driven simulation and optimisation frameworks.
Modelling and optimisation in Industry 4.0, IoT, and cyber-physical systems.
Applications in autonomous systems, robotics, and smart cities.

Validation, Verification, and Analysis

Techniques for the validation and verification of models and simulations.
Sensitivity analysis and uncertainty quantification.
Comparative studies of modelling and optimisation techniques.

Cross-Disciplinary Innovations

Simulation, optimisation, and modelling in education and training.
Interdisciplinary approaches combining engineering, natural sciences, and social sciences.
Ethical and societal impacts of simulation and optimisation practices.

The journal serves as a platform for researchers, practitioners, and policymakers to share cutting-edge developments, ensuring that simulation, optimisation, and modelling continue to evolve as essential tools for solving complex problems in modern industries and society.