An Accelerated Solution Method for Two-Stage Stochastic Models in Disaster Management
Emilia Graß develops a solution method which can provide fast and near-optimal solutions to realistic large-scale two-stage shastic problems in disaster management. The author proposes a specialized interior-point method to accelerate the standard L-shaped algorithm. She shows that the newly developed solution method solves two realistic large-scale case studies for the hurricane prone Gulf and Atlantic coast faster than the standard L-shaped method and a commercial solver. The accelerated solution method enables relief organizations to employ appropriate preparation measures even in the case of short-term disaster warnings.

About the Author
Emilia Graß holds a PhD from the Hamburg University of Technology, Germany. She is currently working as guest researcher on the project cyber security in healthcare at the Centre for Health Policy, Imperial College London, UK. Her scientific focus is on shastic programming, solution methods, disaster management and healthcare.

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An Accelerated Solution Method for Two-Stage Stochastic Models in Disaster Management
Emilia Graß develops a solution method which can provide fast and near-optimal solutions to realistic large-scale two-stage shastic problems in disaster management. The author proposes a specialized interior-point method to accelerate the standard L-shaped algorithm. She shows that the newly developed solution method solves two realistic large-scale case studies for the hurricane prone Gulf and Atlantic coast faster than the standard L-shaped method and a commercial solver. The accelerated solution method enables relief organizations to employ appropriate preparation measures even in the case of short-term disaster warnings.

About the Author
Emilia Graß holds a PhD from the Hamburg University of Technology, Germany. She is currently working as guest researcher on the project cyber security in healthcare at the Centre for Health Policy, Imperial College London, UK. Her scientific focus is on shastic programming, solution methods, disaster management and healthcare.

54.99 In Stock
An Accelerated Solution Method for Two-Stage Stochastic Models in Disaster Management

An Accelerated Solution Method for Two-Stage Stochastic Models in Disaster Management

by Emilia Graï
An Accelerated Solution Method for Two-Stage Stochastic Models in Disaster Management

An Accelerated Solution Method for Two-Stage Stochastic Models in Disaster Management

by Emilia Graï

Paperback(1st ed. 2018)

$54.99 
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Overview

Emilia Graß develops a solution method which can provide fast and near-optimal solutions to realistic large-scale two-stage shastic problems in disaster management. The author proposes a specialized interior-point method to accelerate the standard L-shaped algorithm. She shows that the newly developed solution method solves two realistic large-scale case studies for the hurricane prone Gulf and Atlantic coast faster than the standard L-shaped method and a commercial solver. The accelerated solution method enables relief organizations to employ appropriate preparation measures even in the case of short-term disaster warnings.

About the Author
Emilia Graß holds a PhD from the Hamburg University of Technology, Germany. She is currently working as guest researcher on the project cyber security in healthcare at the Centre for Health Policy, Imperial College London, UK. Her scientific focus is on shastic programming, solution methods, disaster management and healthcare.


Product Details

ISBN-13: 9783658240806
Publisher: Springer Fachmedien Wiesbaden
Publication date: 11/03/2018
Series: Mathematische Optimierung und Wirtschaftsmathematik | Mathematical Optimization and Economathematics
Edition description: 1st ed. 2018
Pages: 155
Product dimensions: 5.83(w) x 8.27(h) x (d)

About the Author

Emilia Graß holds a PhD from the Hamburg University of Technology, Germany. She is currently working as guest researcher on the project cyber security in healthcare at the Centre for Health Policy, Imperial College London, UK. Her scientific focus is on shastic programming, solution methods, disaster management and healthcare.

Table of Contents

Quantitative Optimization Models in Disaster Management: A Literature Review.- Solution Methods in Disaster Management: A Literature Review.- The Accelerated L-Shaped Method.- Case Study Design.- Numerical Experiments and Analysis.
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