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Logic-Based Benders Decomposition : Theory and Applications / by John Hooker.

Springer Nature Synthesis Collection of Technology Collection 13 (2024) Available online

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Format:
Book
Author/Creator:
Hooker, John.
Series:
Synthesis Lectures on Operations Research and Applications, 2770-6311
Language:
English
Subjects (All):
Mathematical optimization.
Operations research.
Mathematics.
Production management.
Optimization.
Operations Research and Decision Theory.
Applications of Mathematics.
Operations Management.
Local Subjects:
Optimization.
Operations Research and Decision Theory.
Applications of Mathematics.
Operations Management.
Physical Description:
1 online resource (148 pages)
Edition:
1st ed. 2024.
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2024.
Summary:
This book is the first comprehensive guide to logic-based Benders decomposition (LBBD), a general and versatile method for breaking large, complex optimization problems into components that are small enough for practical solution. The author introduces logic-based Benders decomposition for optimization, which substantially generalizes the classical Benders method. It can reduce solution times by orders of magnitude and allows decomposition to be applied to a much wider variety of optimization problems. On the theoretical side, this book provides a full account of inference duality concepts that underlie LBBD, as well as a description of how LBBD can be combined with stochastic and robust optimization, heuristic methods, and decision diagrams. It also clarifies the connection between LBBD and combinatorial Benders cuts for mixed integer programming. On the practical side, it explains how LBBD has been applied to a rapidly growing variety of problem domains. After describing basic theory, this book provides a comprehensive review of the rapidly growing literature that describes these applications, in each case explaining how LBBD is adapted to the problem at hand. In doing so this work provides a sourcebook of ideas for applying LBBD to new problems as they arise.
Contents:
Introduction
Inference Duality
The Basic Logic-based Benders Method
Classical Benders Decomposition
Combinatorial Benders Cuts
Stochastic and Robust Optimization
LBBD and Decision Diagrams
LBBD and Heuristic Methods
Task Assignment and Scheduling
.Vehicle Routing
Shop, Factory, and Employee Scheduling
Other Scheduling and Logistics Problems; Health-related Applications
Network Design
Other Applications.
Notes:
Description based on publisher supplied metadata and other sources.
Other Format:
Print version: Hooker, John Logic-Based Benders Decomposition
ISBN:
9783031450396
3031450396
OCLC:
1411310478

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