Research on the optimization algorithm for machinery allocation of materials transportation based on evolutionary strategy

It introduces the optimization module for simulation optimization system of material transportation. In this module, evolutionary strategy algorithm is adopted as the optimization algorithm. The decision variable among the algorithm is local variable, which is the number of transport machinery for each earthwork flow. While the optimum targets among the algorithm are global values, which are the overall simulation result indexes for whole project. In this way, it realizes the consistency of the optimal machinery allocation for single earthwork flow with the optimal machinery allocation for the overall project. Finally, the example shows that the simulation optimization system can quickly search the optimum proposal of transport machinery allocation, support the engineer to make best decision. And the optimization algorithm basing evolutionary strategy is effective and feasible.