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2013 | OriginalPaper | Buchkapitel

Data Correcting Approach for Routing and Location in Networks

verfasst von : Boris Goldengorin

Erschienen in: Handbook of Combinatorial Optimization

Verlag: Springer New York

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Abstract

A data-correcting (DC) algorithm is a branch-and-bound-type 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 prescribed accuracy) from the optimal solution to the original problem. The DC approach is applied to determining exact and approximate global optima of NP-hard problems. DC algorithms are designed for various classes of NP-hard problems including the quadratic cost partition (QCP), simple plant location (SPL), and traveling salesman problems based on the algorithmically defined polynomially solvable special cases. Results of computational experiments on the publicly available benchmark instances as well as on random instances are presented. The striking computational result is the ability of DC algorithms to find exact solutions for many relatively difficult instances within fractions of a second. For example, an exact global optimum of the QCP problem with 80 vertices and 100 % density was found within 0.22 s on a PC with 133-Mhz processor, and for the SPL problem with 200 sites and 200 clients, within 0.2 s on a PC with 733-Mhz processor.

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Metadaten
Titel
Data Correcting Approach for Routing and Location in Networks
verfasst von
Boris Goldengorin
Copyright-Jahr
2013
Verlag
Springer New York
DOI
https://doi.org/10.1007/978-1-4419-7997-1_84

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