A Fast Heuristic Algorithm for Solving High-Density Subset-Sum Problems
Автор: Akash Nag
Журнал: International Journal of Mathematical Sciences and Computing(IJMSC) @ijmsc
Статья в выпуске: 2 vol.3, 2017 года.
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The subset sum problem is to decide whether for a given set of integers A and an integer S, a possible subset of A exists such that the sum of its elements is equal to S. The problem of determining whether such a subset exists is NP-complete; which is the basis for cryptosystems of knapsack type. In this paper a fast heuristic algorithm is proposed for solving subset sum problems in pseudo-polynomial time. Extensive computational evidence suggests that the algorithm almost always finds a solution to the problem when one exists. The runtime performance of the algorithm is also analyzed.
Subset-sum problem, NP-complete, heuristics, search, algorithms
Короткий адрес: https://sciup.org/15014265
IDR: 15014265
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