Hybrid simulation is a research area that combines two or more simulation techniques to model complex systems that cannot be effectively represented by a single simulation method alone. By integrating different types of simulation models, such as continuous, discrete, and agent-based models, hybrid simulation can provide a more accurate representation of real-world systems and capture the dynamic interactions between different components. This approach is commonly used in fields such as engineering, economics, and social sciences to study complex systems and analyze their behavior under different conditions. Hybrid simulation can offer more flexibility and better insights compared to individual simulation methods, making it a valuable tool for understanding and improving various systems and processes.