The aim of the paper is to find an optimal sensor location in order to perform an identification of laminates’ elastic constants. As a result the identification procedure can be more accurate and less time-consuming. Simple and hybrid (with laminas composed of different materials) laminates are considered. To collect data necessary for the identification procedure modal analysis methods are used. This attitude allows reducing the number of sensor points to one. Sensitivity analysis of the measurements to the variation of identified parameters is performed. Global optimization methods in form of Evolutionary Algorithm and Artificial Immune System are employed to perform the identification task. Commercial finite element method software is employed to solve the direct problem for laminates. Numerical examples showing the influence of the sensor point location on the identification results are attached.