The constrained two-dimensional cutting problem is concerned with the
way a set of pieces should be cut from a plate, taking into account th
at the cuts are of the guillotine type and that the number of times a
piece can be cut is limited. Both plate and pieces are rectangular sha
ped. Yr 1983, Wang proposed an algorithm for incremental development o
f rectangles. Later, Oliveira and Ferreira not only proposed but numer
ically tested an improvement to the algorithm as, A generalization of
these methods is proposed. It will be stated that such methods are par
ticular cases of uninformed search methods, widely studied in the area
of Artificial Intelligence. Knowing that more efficient methods exist
, namely 'informed methods', different alternatives to orientate the s
earch process, while reducing the required computer memory and time, a
re defined. Using an adequate selection of an heuristic function it is
possible to guarantee the determination of a best solution. Such idea
s are numerically tested in this work. The results indicate the superi
ority of the proposed algorithm.