THE SIMULATION-OPTIMISATION APPROACH FOR SOLVING THE DYNAMIC STOCHASTIC COORDINATED TRANSPORTATION PROBLEM

An effective way for solving the dynamic stochastic coordinated transportation (DSCT) problem is the combination of system simulation and optimisation techniques. Based on DSCT characteristics, the simulation-optimisation structure for DSCT and the optimisation algorithm, the exploratory method of optimum step (EMOS) of searching the optimal plans of commodity allocations are presented and discussed in detail, with the proof of EMOS convergence. It is shown by a real example study that the structure and algorithm are quite effective. The idea and ways of thought in this research also provide valuable enlightenment for other kinds of dynamic stochastic multi-objective simulation-optimisation problems.