A New Algorithm for the 0-1 Knapsack Problem
Silvano Martello and
Paolo Toth
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Silvano Martello: DEIS, University of Bologna, Italy
Paolo Toth: DEIS, University of Bologna, Italy
Management Science, 1988, vol. 34, issue 5, 633-644
Abstract:
We present a new algorithm for the optimal solution of the 0-1 Knapsack problem, which is particularly effective for large-size problems. The algorithm is based on determination of an appropriate small subset of items and the solution of the corresponding "core problem": from this we derive a heuristic solution for the original problem which, with high probability, can be proved to be optimal. The algorithm incorporates a new method of computation of upper bounds and efficient implementations of reduction procedures. The corresponding Fortran code is available. We report computational experiments on small-size and large-size random problems, comparing the proposed code with all those available in the literature.
Keywords: Knapsack problem; branch-and-bound (search for similar items in EconPapers)
Date: 1988
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Persistent link: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:34:y:1988:i:5:p:633-644
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