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Business, international

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Greedy sets and related problems

Article Abstract:

A partial order technique evaluation of greedy sets reveals that subclasses of greedy functions exist when computed using the so-called 'generalized canonical order.' The results may be extended to related problems of characterization of greedy matrices and functions. The results provide insight into greedy sets that are popular because of their simple implementation and good speed.

Author: Girlich, Eberhard, Kovalev, Michail M., Vasilkov, Dmitri M.
Publisher: Elsevier B.V.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 1997
Research and Development in the Physical, Engineering, and Life Sciences, Mathematics, Statistics, Research, Usage, Canonical correlation (Statistics), Statistics (Mathematics), Matrices, Matrices (Mathematics)

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Greedy solutions of selection and ordering problems

Article Abstract:

Research analysing the greedy algorithm used to solve problems of ordering and selection is presented. Particular attention is given to descriptions of generalized best-in greedy algorithmsm and to test the efficiency of the analytic results in NP-hard problems.

Author: Alidaee, Bahram, Kochenberger, Gary A., Amini, Mohammad M.
Publisher: Elsevier B.V.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 2001
Models, Ranking and selection (Statistics)

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Greedy random adaptive memory programming search for the capacitated clustering problem

Article Abstract:

The capacitated clustering problem is analyzed using Greedy Random Adaptive Search Procedure (GRASP) and Adaptive Memory Programming (AMP) techniques. The advantages of using this procedures are discussed.

Author: Ahmadi, Samad, Osman, Ibrahim H.
Publisher: Elsevier B.V.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 2005
United Kingdom, Management dynamics, Analysis, Management, Company business management, Clustering (Computers), Server clustering

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