Evolutionary strategies is a new method when it comes to solve the optimal solution of the global optimization issues; at the same time

the study of optimization design in the pit supportings by using the theories and methods of evolutionary strategies is carried out. Considering the optimization design’s disadvantages in convergence and convergence speed when it deals with optimization issues of nonlinear function and high-dimension optimization

a sort of faster evolutionary strategy is presented by combining the tabu search(TB) with the beam search which can effectively overcome the downbacks mentioned upon. Taking the studies and analysis of some cases of construction as background

which indicates that evolutionary strategies are not confined by the differentiability

continuity of design space and so on; but especially fit for calculating the issues of the supporting projects which relating to discrete design variables and uncertain factors. The new improved evolutionary strategy presented has a better convergence as well as the capabilities of the global optimization which avoids local optimum solutions effectively.