We address the 2-dimensional Knapsack Problem (2KP), aimed at packing a maximum-profit subset of rectangles selected from a given set into another rectangle. We consider the natural relaxation of 2KP given by the 1-dimensional KP with item weights equal to the rectangle areas, proving the worst-case performance of the associated upper bound, and present and compare computationally four exact algorithms based on the above relaxation, showing their effectiveness.

Caprara, A., Monaci, M. (2004). On the 2-Dimensional Knapsack Problem. OPERATIONS RESEARCH LETTERS, 32, 5-14 [10.1016/S0167-6377(03)00057-9].

On the 2-Dimensional Knapsack Problem

MONACI, MICHELE
2004

Abstract

We address the 2-dimensional Knapsack Problem (2KP), aimed at packing a maximum-profit subset of rectangles selected from a given set into another rectangle. We consider the natural relaxation of 2KP given by the 1-dimensional KP with item weights equal to the rectangle areas, proving the worst-case performance of the associated upper bound, and present and compare computationally four exact algorithms based on the above relaxation, showing their effectiveness.
2004
Caprara, A., Monaci, M. (2004). On the 2-Dimensional Knapsack Problem. OPERATIONS RESEARCH LETTERS, 32, 5-14 [10.1016/S0167-6377(03)00057-9].
Caprara, A.; Monaci, Michele
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/1109
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