Titlebook: Data Correcting Approaches in Combinatorial Optimization; Boris Goldengorin,Panos M. Pardalos Book 2012 Boris Goldengorin, Panos M. Pardal

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Sudden Unexplained Death in the Communityype algorithm, in which the data of a given problem is “heuristically corrected” at the various stages in such a way that the new instance will be polynomially solvable and its optimal solution is within a prespecified deviation (called .) from the optimal solution to the original problem.

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Maximization of Submodular Functions: Theory and Algorithms,in political elections. Many of them can be modelled in graph theoretic terms and reduced to the maximization of a submodular (respectively, minimization of supermodular) objective function. After reviewing some long-standing theoretical results about the structure of local and global maxima of subm

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Data Correcting Approach for the Maximization of Submodular Functions,lly corrected” at each branching in such a way that the new instance will be as close as possible to polynomially solvable and the result satisfies a prescribed accuracy (the difference between optimal and current solution). The main idea of the data correcting approach for an arbitrary function . d

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Data Correcting Approach for the Simple Plant Location Problem,roblem (SPLP) presented in the previous chapters. It is common knowledge that exact algorithms for .-hard problems in general, and for the SPLP in particular, spend only about 10 % of the execution time to find an optimal solution. The remaining time is spent proving the optimality of the solution.

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