A Mixture of Dynamic Programming and Branch-and-Bound for the Subset-Sum Problem
Given n items, each having a weight w i , and a container of capacity W, the Subset-Sum Problem (SSP) is to select a subset of the items whose total weight is closest to, without exceeding, W. The paper presents a mixed approach (depth first search-dynamic programming) to the exact solution of the problem. An extensive computational experience is presented, comparing the proposed algorithm with that of Ahrens-Finke, as well as with the Balas-Zemel algorithm for large problems. Both "easy" and "hard" problems with values of n up to 10,000 are considered.
Volume (Year): 30 (1984)
Issue (Month): 6 (June)
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