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Models and algorithms for the capacitated facility location problem: Basics, Concepts, Methods - Brossura
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We investigate solution approaches for large instances of the capacitated facility location problem (CFLP). we present details of a Lagrangean Decomposition algorithm for solving such problems. We introduce a new tightening constraint and dual estimates that lead to improved lower bounds. In our computer environment, we describe a number of Greedy heuristics that provide good upper bound solutions. We describe how these results can be exploited by warm starting our upper bound procedure in the Lagrangean Decomposition approach. We present our results that indicate the benefits of being able to incorporate these warm starts. We show for small instances of the CFLP, it is effective to have tight linking constraints. We report results that illustrate the trade off between these constraints, solution time, and solution quality. We describe an effective routine, whereby at each pass in the algorithm, these constraints can be sequentially added. We present a new heuristic called the “unit cost technique”, to improve the upper bound. Also we show through solving very large instances of the CFLP that our algorithm scales up well in terms of computational time and solution quality.
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Name: Eiman J Alenezy Gender: Female. Nationality: Kuwaiti. ACADEMIC QUALIFICATION*Ph.D.(In Mathematics).Brunel University, Uxbridge,UK.August 2006.*Master of Science in Statistics and Operations Research. Faculty of Science, Kuwait University, Kuwait 1998.*Bachelor of Art in Mathematics. College of Education.
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Models and algorithms for the capacitated facility location problem
Editore:
LAP LAMBERT Academic Publishing Aug 2014, 2014
ISBN 10: 3659577413
ISBN 13: 9783659577413
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -We investigate solution approaches for large instances of the capacitated facility location problem (CFLP). we present details of a Lagrangean Decomposition algorithm for solving such problems. We introduce a new tightening constraint and dual estimates that lead to improved lower bounds. In our computer environment, we describe a number of Greedy heuristics that provide good upper bound solutions. We describe how these results can be exploited by warm starting our upper bound procedure in the Lagrangean Decomposition approach. We present our results that indicate the benefits of being able to incorporate these warm starts. We show for small instances of the CFLP, it is effective to have tight linking constraints. We report results that illustrate the trade off between these constraints, solution time, and solution quality. We describe an effective routine, whereby at each pass in the algorithm, these constraints can be sequentially added. We present a new heuristic called the 'unit cost technique', to improve the upper bound. Also we show through solving very large instances of the CFLP that our algorithm scales up well in terms of computational time and solution quality. 84 pp. Englisch. Codice articolo 9783659577413
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Models and algorithms for the capacitated facility location problem
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VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
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Models and algorithms for the capacitated facility location problem
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VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
ISBN 10: 3659577413
ISBN 13: 9783659577413
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Da: Majestic Books, Hounslow, Regno Unito
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Condizione: New. Print on Demand pp. 84 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam. Codice articolo 353441311
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Models and algorithms for the capacitated facility location problem
Editore:
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
ISBN 10: 3659577413
ISBN 13: 9783659577413
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Da: Biblios, Frankfurt am main, HESSE, Germania
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Condizione: New. PRINT ON DEMAND pp. 84. Codice articolo 18359049674
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Models and algorithms for the capacitated facility location problem
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LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659577413
ISBN 13: 9783659577413
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Da: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Alenezy Eiman J.Name: Eiman J Alenezy Gender: Female. Nationality: Kuwaiti. ACADEMIC QUALIFICATION*Ph.D.(In Mathematics).Brunel University, Uxbridge,UK.August 2006.*Master of Science in Statistics and Operations Research. Faculty o. Codice articolo 5166052
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Models and algorithms for the capacitated facility location problem
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LAP LAMBERT Academic Publishing Aug 2014, 2014
ISBN 10: 3659577413
ISBN 13: 9783659577413
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -We investigate solution approaches for large instances of the capacitated facility location problem (CFLP). we present details of a Lagrangean Decomposition algorithm for solving such problems. We introduce a new tightening constraint and dual estimates that lead to improved lower bounds. In our computer environment, we describe a number of Greedy heuristics that provide good upper bound solutions. We describe how these results can be exploited by warm starting our upper bound procedure in the Lagrangean Decomposition approach. We present our results that indicate the benefits of being able to incorporate these warm starts. We show for small instances of the CFLP, it is effective to have tight linking constraints. We report results that illustrate the trade off between these constraints, solution time, and solution quality. We describe an effective routine, whereby at each pass in the algorithm, these constraints can be sequentially added. We present a new heuristic called the 'unit cost technique', to improve the upper bound. Also we show through solving very large instances of the CFLP that our algorithm scales up well in terms of computational time and solution quality.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch. Codice articolo 9783659577413
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Models and algorithms for the capacitated facility location problem : Basics, Concepts, Methods
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LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659577413
ISBN 13: 9783659577413
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - We investigate solution approaches for large instances of the capacitated facility location problem (CFLP). we present details of a Lagrangean Decomposition algorithm for solving such problems. We introduce a new tightening constraint and dual estimates that lead to improved lower bounds. In our computer environment, we describe a number of Greedy heuristics that provide good upper bound solutions. We describe how these results can be exploited by warm starting our upper bound procedure in the Lagrangean Decomposition approach. We present our results that indicate the benefits of being able to incorporate these warm starts. We show for small instances of the CFLP, it is effective to have tight linking constraints. We report results that illustrate the trade off between these constraints, solution time, and solution quality. We describe an effective routine, whereby at each pass in the algorithm, these constraints can be sequentially added. We present a new heuristic called the 'unit cost technique', to improve the upper bound. Also we show through solving very large instances of the CFLP that our algorithm scales up well in terms of computational time and solution quality. Codice articolo 9783659577413
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Models and algorithms for the capacitated facility location problem | Basics, Concepts, Methods
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LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659577413
ISBN 13: 9783659577413
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Da: preigu, Osnabrück, Germania
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Taschenbuch. Condizione: Neu. Models and algorithms for the capacitated facility location problem | Basics, Concepts, Methods | Eiman J. Alenezy | Taschenbuch | 84 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659577413 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 105149071
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