Online Storage Systems and Transportation Problems with Applications - Optimization Models and Mathematical Solutions (Hardcover, 2005 ed.)

Appendices A Rotastore A. l Tabular Results for Different Models A. 2 Tabular Results for Different Algorithms B OptiTrans B. l Input Data B. l. l Input Data Common to all Solution Approaches B. 1. 2 Specific Input Data for the MILP Model and the Column Enumeration Approach B. 1. 3 Specific Input Data for the Heuristic Methods B. 1. 3. 1 Penalty Criteria B. 1. 3. 2 Control Parameters of the OptiTrans Software B. 2 Tabular Results B. 2. 1 Tabular Results for the MILP Model B. 2. 2 Tabular Results for the Heuristic Methods B. 2. 2. 1 Input Data for a Whole Day - Offline Analysis B. 2. 2. 2 Results for CIH and SA References Index Preface This book covers the analysis and development of online algorithms involving exact optimization and heuristic techniques, and their appli- tion to solve two real life problems. The first problem is concerned with a complex technical system: a special carousel based high-speed storage system - Rotastore. It is shown that this logistic problem leads to an NP-hard Batch Presorting Pr- lem (BPSP) which is not easy to solve optimally in offline situations. We consider a polynomial case and develope an exact algorithm for offline situations. Competitive analysis showed that the proposed online - gorithm is 312-competitive. Online algorithms with lookahead improve the online solutions in particular cases. If the capacity constraint on additional storage is neglected the problem has a totally unimodular polyhedron.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Applied Optimization, 91
Release date:	November 2004
First published:	November 2004
Authors:	Julia Kallrath
Dimensions:	235 x 155 x 14mm (L x W x T)
Format:	Hardcover
Pages:	222
Edition:	2005 ed.
ISBN-13:	978-1-4020-2971-4
Categories:	Books > Business & Economics > Business & management > Management & management techniques > Management decision making > General
LSN:	1-4020-2971-3
Barcode:	9781402029714

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