Eine Heuristik für das mehrdimensionale Bin Packing Problem
The more-dimensional bin packing problem (BPP) considered here requires packing a set of rectangular shaped items into a minimum number of identical rectangular shaped bins. All items may be rotated and the guillotine constraint has to be respected. A straightforward heuristic is presented that is based on a method for the container loading problem following a wall-building approach and on a procedure for the one-dimensional BPP. 1800 new benchmark instances are introduced for the two-dimensional and for the three-dimensional BPP. The instances include more than 1500 items on average. Applied to these very large instances, the heuristic generates solutions of acceptable quality in short computation times. Moreover, the influence of different instance parameters on the solution quality is investigated by an extended computational study.
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