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.
| ISBN: | 9780387717715 |
| Publication date: | 11th January 2024 |
| Author: | Patrick Jaillet, Michael R Wagner |
| Publisher: | Springer an imprint of Springer US |
| Format: | Hardback |
| Pagination: | 320 pages |
| Series: | International Series in Operations Research & Management Science |
| Genres: |
Operational research Management of specific areas Optimization Mathematical modelling Engineering: general |
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.
Online Optimization features in the following genres: Operational research, Management of specific areas, Optimization, Mathematical modelling, Engineering: general
Online Optimization is available in Hardback
Online Optimization was written by Patrick Jaillet, Michael R Wagner and published by Springer an imprint of Springer US
Online Optimization has 320 pages
Yes it is part of International Series in Operations Research & Management Science series