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A commentary on “Hybrid search for minimal perturbation in Dynamic CSPs”

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The Original Article was published on 15 May 2011

Abstract

The Hybrid Search for Minimal Perturbation Problems algorithm in Dynamic CSP (HS_MPP) (Zivan, Constraints, 16(3), 228–249, 2011) ensures for a given dynamic problem and its solution to the previous CSP, to find the optimal solution to the newly generated CSP. This proposed method exploits the fact that its reported solution must satisfy two requirements. First, that it is a solution for T complete assignment for the derived CSP and second, that it is as close as possible to the solution of the former CSP. Unfortunately, the pseudo-code of the algorithm in Zivan (Constraints, 16(3), 228–249, 2011) is confusing and may lead to an implementation in which HS_MPP may not perform the expected outcomes of a given instance of Dynamic CSPs correctly. In this erratum, we demonstrate the possible undesired outcomes and give corrections in HS_MPP’s pseudo-code.

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References

  1. Zivan, R, Grubshtein, A, & Meisels, A (2011). Hybrid search for minimal perturbation in Dynamic CSPs. Constraints, 16(3), 228–249.

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Correspondence to El Mehdi El Graoui.

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This commentary refers to the publication, Hybrid search for minimal perturbation in Dynamic CSPs, Roie Zivan, Alon Grubshtein, Amnon Meisels, available at doi:10.1007/s10601-011-9108-5.

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El Graoui, E.M., Benelallam, I. & Bouyakhf, E.H. A commentary on “Hybrid search for minimal perturbation in Dynamic CSPs”. Constraints 21, 349–354 (2016). https://doi.org/10.1007/s10601-015-9205-y

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  • DOI: https://doi.org/10.1007/s10601-015-9205-y

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