Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling

Language: English

Published by Springer, Palgrave Macmillan Feb 2016, 2016

3319260227 / 9783319260228

Series: Book 225 of 323 - International Series in Operations Research & Management Science

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This item is printed on demand - Print on Demand Titel. Neuware -The scope of this book is limited to heuristics, metaheuristics, and approximate methods and algorithms as applied to planning and scheduling problems. While it is not possible to give a comprehensive treatment of this topic in one book, the aim of this work is to provide the reader with a diverse set of planning and scheduling problems and different heuristic approaches to solve them. The problems range from traditional single stage and parallel machine problems to more modern settings such as robotic cells and flexible job shop networks. Furthermore, some chapters deal with deterministic problems while some others treat stochastic versions of the problems. Unlike most of the literature that deals with planning and scheduling problems in the manufacturing and production environments, in this book the environments were extended to nontraditional applications such as spatial scheduling (optimizing space over time), runway scheduling, and surgical scheduling. The solution methods usedin the different chapters of the book also spread from well-established heuristics and metaheuristics such as Genetic Algorithms and Ant Colony Optimization to more recent ones such as Meta-RaPS.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 276 pp. Englisch.…

Seller Inventory # 9783319260228

Title
Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling
Author
Ghaith Rabadi
Publisher
Springer, Palgrave Macmillan Feb 2016
Publication year
2016
Condition
Neu
Binding
Buch
Language
English
ISBN 10
3319260227
ISBN 13
9783319260228
Item weight
582 grams
Dimensions
241x160x21 mm
Series
Book 225 of 323: International Series in Operations Research & Management Science

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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