Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Stochastic approximation is a simulation optimization technique that has received much attention. Traditional finite difference-based stochastic approximation schemes require a large number of simulations when the number of parameters of interest is large.  apply simultaneous perturbation stochastic approximation (SPSA), which requires only two simulations per gradient estimate, regardless of the number of parameters of interest.  report simulation experiments conducted on a single-server queue, comparing the algorithm with finite differences and with perturbation analysis (PA).  then consider a transportation problem and formulate it as a stochastic optimization problem to which  propose to apply SPSA.
['Stacy D. Hill', 'Michael C. Fu']
I am writing a research paper on a idea Simulation optimization via simultaneous perturbation stochastic approximation
[{"from": "human", "value": "I am writing a research paper on a idea Simulation optimization via simultaneous perturbation stochastic approximation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Stochastic approximation is a simulation optimization technique that has received much attention. Traditional finite difference-based stochastic approximation schemes require a large number of simulations when the number of parameters of interest is large.  apply simultaneous perturbation stochastic approximation (SPSA), which requires only two simulations per gradient estimate, regardless of the number of parameters of interest.  report simulation experiments conducted on a single-server queue, comparing the algorithm with finite differences and with perturbation analysis (PA).  then consider a transportation problem and formulate it as a stochastic optimization problem to which  propose to apply SPSA."}]