Online Storage Systems and Transportation Problems with Applications
Produktnummer:
18ed41786e943642639747a9215d621c63
Autor: | Kallrath, Julia |
---|---|
Themengebiete: | Mathematica algorithms logistics online algorithm optimization sorting |
Veröffentlichungsdatum: | 18.11.2004 |
EAN: | 9781402029714 |
Sprache: | Englisch |
Seitenzahl: | 222 |
Produktart: | Gebunden |
Verlag: | Springer US |
Untertitel: | Optimization Models and Mathematical Solutions |
Produktinformationen "Online Storage Systems and Transportation Problems with Applications"
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.

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