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Linear compound algorithms for the partitioning problem
Authors:Yong He  Hans Kellerer  Vladimir Kotov
Abstract:For a given set S of nonnegative integers the partitioning problem asks for a partition of S into two disjoint subsets S1 and S2 such that the sum of elements in S1 is equal to the sum of elements in S2. If additionally two elements (the kernels) r1, r2S are given which must not be assigned to the same set Si, we get the partitioning problem with kernels. For these NP‐complete problems the authors present two compound algorithms which consist both of three linear greedylike algorithms running independently. It is shown that the worst‐case performance of the heuristic for the ordinary partitioning problem is 12/11, while the second procedure for partitioning with kernels has a bound of 8/7. © 2000 John Wiley & Sons, Inc. Naval Research Logistics 47: 593–601, 2000
Keywords:partition  analysis of algorithms  worst‐case analysis  multiprocessor scheduling  kernel  machine release time
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