|
![]() |
|||
|
||||
OverviewThe 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. Full Product DetailsAuthor: Patrick Jaillet , Michael R. WagnerPublisher: Springer-Verlag New York Inc. Imprint: Springer-Verlag New York Inc. Edition: 1st ed. 2020 ISBN: 9780387717715ISBN 10: 0387717714 Pages: 320 Publication Date: 11 January 2024 Audience: College/higher education , Professional and scholarly , Undergraduate , Postgraduate, Research & Scholarly Format: Hardback Publisher's Status: Active Availability: Awaiting stock ![]() The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you. Table of ContentsIntroduction: 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.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |