A Genetic Algorithm for the Two-dimensional Single Large Object Placement Problem
نویسنده
چکیده
The two-dimensional Single Large Object Placement Problem (SLOPP) problem consists of determining a cutting pattern of a set of n small rectangular piece types (little object) on a rectangular stock plate (large object) of length L and width W, as to maximize the sum of the profits of the pieces to be cut. Each piece type i, i = 1, . . ., m, is characterized by a length li, a width wi, a profit (or weight) ci and an upper demand value bi. Only guillotine cuts are allowed and the pieces may be rotated by 90°. In this paper three heuristic algorithm were applied to constrained two-dimensional cutting problems and the results were compared.
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