The phrase "a number of simulated" is correct and usable in written English.
It can be used when referring to multiple instances or examples of simulations in various contexts, such as research, experiments, or training scenarios.
Example: "The study included a number of simulated environments to test the participants' responses."
Alternatives: "several simulated" or "multiple simulated".
Teams then participate in a number of simulated scenarios using patient simulators and actual aircraft models with the goal of experiencing firsthand the challenges inherent in providing critical care in austere conditions.
In one early study, four commercial airline pilots participating in an extensive simulator training program completed a number of simulated landings while using a head-up display (Haines, 1991).
Bank staff will have to respond to a number of simulated cyber-attacks and find solutions to various problems including how to ensure the availability of cash from ATM machines and cope with a liquidity freeze in the wholesale market.
The researchers still need to add a number of simulated tastes, including more sweet and sugary flavors, and add smell and texture, which would help fool the brain into believing a taste is real.
During his training the prince has taken part in a number of simulated rescue missions over the Irish Sea and the Atlantic and in the mountains of Snowdonia.
Performance of proposed algorithm, AMQR, existing ad hoc on demand distance vector algorithm, AODV, and AntHocNet [29] are tested in a number of simulated scenarios.
Consequently, to obtain a high number of simulated trees, parallel simulations were implemented using a cluster of computers where each processor was carrying out an entire simulation, i.e. five consecutive years of simulated tree growth.
For future research focusing on parameter inference, this procedure could be modified to use a larger number of simulated data sets and a lower tolerance rate.
We note that the traditional null hypothesis test is not well suited for simulation studies because with a sufficient number of simulated trajectories one can make the p value arbitrarily small (Heard et al. 2014).
Bootstrap sampling and energy minimization algorithms are employed for dynamic coupling of these two methods since MD utilizes real number of molecules during simulation whereas DSMC utilizes a lesser number of simulated molecules.
We demonstrate a system using one implementation of the technique on a large number of simulated path planning problems in fractal terrain.
