This paper describes an algorithm for tiling with polyminoes that consider
rotation and/or reflection of figures in the steps of 90o. First, we review the previous
parallel algorithms for tiling problems. Next, we propose a hybrid approach that is based
on genetic algorithms (GA) and artificial neural networks (ANN). In this approach, the
production of new members in GA and their evaluation are performed by a Hopfield
neural network. Finally we compare our method with the previous works, and show that
our method can produce global minima for many problems. The algorithm can be used
for solving a variety of 2D-packing problems.