Neuro-based tiling algorithm using fitting violation function of polyominoes

This paper describes a neuro-based optimization algorithm for tiling with polyominoes. First, we review the previous neuro-based parallel algorithm for the tiling problem where l×m×n maximum neural array is required for an m×n checkerboard. Next, we propose a robust neuro-based tiling algorithm using the modified energy function which includes the fitting violation function of the polyominoes and the analog neural array. Finally, we compare our algorithm with the previous one and show that our method is much more vigorous and practical for larger tiling problems