Stocastic optimization of large-scale model
Posted: Wed Oct 09, 2019 11:55 am
Hi,
I have a large-scale model (huge input data and long run) for electricity market, which minimizes the total system cost (I have an external function for this minimization function). I want to include uncertainty in the model and consider some parameters (assume fuel price) uncertain in order to model the system stochastically. I was wondering how could I solve my problem stochastically (if its possible) with facilities of Vensim like Payoff definition or Optimization options when I have some external functions as well? In other words, can I use stochastic optimization of Vensim when I have a cost minimization problem which is solved by external function?
I have a large-scale model (huge input data and long run) for electricity market, which minimizes the total system cost (I have an external function for this minimization function). I want to include uncertainty in the model and consider some parameters (assume fuel price) uncertain in order to model the system stochastically. I was wondering how could I solve my problem stochastically (if its possible) with facilities of Vensim like Payoff definition or Optimization options when I have some external functions as well? In other words, can I use stochastic optimization of Vensim when I have a cost minimization problem which is solved by external function?