Online Optimization
(Sprache: Englisch)
The objective of ONLINE OPTIMIZATION is to provide a systematic survey of the methodology. From the methodological survey, the book then covers a variety of applications of online optimization methods in the domain of Operations Research...
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Klappentext zu „Online Optimization “
The objective of ONLINE OPTIMIZATION is to provide a systematic survey of the methodology. From the methodological survey, the book then covers a variety of applications of online optimization methods in the domain of Operations Research and Management Science. These applications include a range of problem types, which include the multiple scheduling complex transportation systems, optimizing financial decision problems in "real time", and complex production problems of all sorts (e.g., whether costs should be reduced or profits should be maximized or scarce resources should be used wisely, etc.). With online optimization the issue of incomplete data is an essential aspect of the scientific challenge. Hence, how well online algorithms can perform and how one can guarantee solution quality-even without knowing all data in advance-are the primary challenges of the online optimization methodology.
Inhaltsverzeichnis zu „Online Optimization “
- Introduction: Uncertainty in optimization- Online Optimization: An overview
- A-Priori Optimization
- Online Traveling Salesman Problems
- Online Traveling Repairman Problems
- Online Searching
- Online Machine Scheduling
- Value of Information in Online Optimization
Autoren-Porträt von Patrick Jaillet, Michael R. Wagner
The objective of Online Optimization is to provide a systematic survey of the methodology. Following the methodological survey, the book covers a variety of applications of online optimization methods in the domain of Operations Research and Management Science. These applications include a range of problem types, which include the multiple scheduling complex transportation systems, optimizing financial decision problems in "real time", and complex production problems of all sorts (e.g., whether costs should be reduced or profits should be maximized or scarce resources should be used wisely, etc.). With online optimization the issue of incomplete data is an essential aspect of the scientific challenge. Hence, how well online algorithms can perform and how one can guarantee solution quality-even without knowing all data in advance-are the primary challenges of the online optimization methodology.Bibliographische Angaben
- Autoren: Patrick Jaillet , Michael R. Wagner
- 2024, 320 Seiten, 40 farbige Abbildungen, Masse: 15,5 x 23,5 cm, Gebunden, Englisch
- Verlag: Springer, Berlin
- ISBN-10: 0387717714
- ISBN-13: 9780387717715
- Erscheinungsdatum: 11.01.2024
Sprache:
Englisch
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