This is the code related to the paper: Andrea Visentin and Steven Prestwich and Roberto Rossi and S Armagan Tarim: Computing Optimal (R,s,S) Policy Parameters by a Hybrid of Branch-and-Bound and Stochastic Dynamic Programming, in European Journal of Operational Research, Under review.
The structure of the repository is organised as follow
- solvers/ - contains the different policy parameters algorithms. It contains a sub-folder for each policy (sS, RS, RsS).
- util/ - contains additional classes used to generate the problem instances and simulate their behaviour.
- experiment_non_stationary.py - is an example of the solutions usage.
For additional info and clarifications, do not esitate to contact: Dr Andrea Visentin [email protected]