In the present paper, a method of global optimisation (structure adapted search) is proposed. It uses the grid of trial points which are more uniformly distributed for the projections on variables or their groups that make more influence.

The paper uses a set of test models to demonstrate the merit of the approaches. The efficiency of structure adapted search as compared to the random search is investigated. The results of using the new approach may be treated as a success.