Overview

"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."

Full Product Details

Author:   Patrick Jaillet ,  Michael R. Wagner
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   1st ed. 2020
ISBN:  

9780387717715

ISBN 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  
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Table of Contents

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.

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