An Accelerated Solution Method for Two-Stage Stochastic Models in Disaster Management. 1st ed. 2018

種類:

電子ブック

責任表示:

by Emilia Graß

出版情報:

Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Spektrum, 2018

著者名:

• Graß, Emilia.
• SpringerLink (Online service)

シリーズ名:

Mathematische Optimierung und Wirtschaftsmathematik | Mathematical Optimization and Economathematics ;

ISBN:

9783658240813 [3658240814]    

注記:

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.
Emilia Graß develops a solution method which can provide fast and near-optimal solutions to realistic large-scale two-stage stochastic 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. 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 Target Groups Scientist and students in the fields of operations research, optimization and numerical algorithms Practitioners working in charities and NGOs

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