Name: Online Storage Systems and Transportation Problems With Applications: Optimization Models and Mathematical Solutions (Applied Optimization, 91) (en Inglés)
SKU: 57764182
Price: 132.24 USD
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Author: Julia Kallrath

portada Online Storage Systems and Transportation Problems With Applications: Optimization Models and Mathematical Solutions (Applied Optimization, 91) (en Inglés)

Online Storage Systems and Transportation Problems With Applications: Optimization Models and Mathematical Solutions (Applied Optimization, 91) (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Julia Kallrath

Idioma

Inglés

N° páginas

236

Encuadernación

Tapa Blanda

ISBN13

9781489981059

N° edición

2005th

Online Storage Systems and Transportation Problems With Applications: Optimization Models and Mathematical Solutions (Applied Optimization, 91) (en Inglés)

Julia Kallrath (Autor) · Springer · Tapa Blanda

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Reseña del libro "Online Storage Systems and Transportation Problems With Applications: Optimization Models and Mathematical Solutions (Applied Optimization, 91) (en Inglés)"

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.