Combinatorial optimization and applications: a tribute to bernard gendron

Contributor(s):

Material type: Text

TextSeries: International Series in Operations Research & Management Science (ISOR, volume 358)Publication details: Springer Cham 2024Description: xiii, 506 pISBN:

9783031576027

Subject(s):

Combinationatorial optimization

DDC classification:

519.64 CRA

Summary: Combinatorial Optimization represents a major component of Operations Research, Mathematical Programming, and, in a broader sense, the development of digital intelligence (and society). It covers, in particular, such important areas as network design, location, routing, and scheduling, with major applications in transportation, logistics, health systems, production, communications, and energy. Starting from the exceptional contribution Professor Bernard Gendron made to combinatorial optimization and its applications in multiple areas, the book presents a state-of-the-art view on the field through a combination of surveys, expository articles, and focused methodological and applied research. The authors hail from various Operations Research areas and institutions around the world. Having collaborated closely with Professor Gendron, they drew on his foundational work to showcase a variety of models and algorithms that draw a living picture of the multifaceted word of applied combinatorial optimization. (https://link.springer.com/book/10.1007/978-3-031-57603-4)

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Operations Management & Quantitative Techniques	519.64 CRA (Browse shelf(Opens below))	1	Available		007881

Table of contents:
Table of contents (20 chapters)
Front Matter
Pages i-xiii
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Bernard Gendron and Operations Research
Teodor Gabriel Crainic, Antonio Frangioni, Michel Gendreau
Pages 1-14
Methodological Developments
Front Matter
Pages 15-15
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Variable Neighborhood Search with Dynamic Exploration for the Set Union Knapsack Problem
Igor Machado Coelho, Saïd Hanafi, Raca Todosijevic, Mustapha Ratli, Bernard Gendron
Pages 17-35
Common-Flow Formulations for the Diameter Constrained Spanning and Steiner Tree Problems
Luis Gouveia, Markus Leitner, Ivana Ljubić
Pages 37-58
Models and Methods for Two-Level Facility Location Problems
Bernard Gendron, Paul-Virak Khuong, Frédéric Semet
Pages 59-75
Facility Location: A Guide to Modeling and Solving Complex Problem Variants via Lagrangian Relaxation Heuristics
Sanjay Dominik Jena
Pages 77-114
Bin Packing Methodologies for Capacity Planning in Freight Transportation and Logistics
Maria Elena Bruni, Teodor Gabriel Crainic, Guido Perboli
Pages 115-147
Models for Network Flow and Network Design Problems with Piecewise Linear Costs
Bernard Fortz, Bernard Gendron, Luis Gouveia
Pages 149-161
New Formulations for the Scheduled Service Network Design Problem with Piecewise Linear Costs
Mike Hewitt, Fabien Lehuédé
Pages 163-178
Multi-Layer Network Design for Consolidation-Based Transportation Planning
Teodor Gabriel Crainic
Pages 179-205
Separable Lagrangian Decomposition for Quasi-Separable Problems
Antonio Frangioni, Bernard Gendron, Enrico Gorgone
Pages 207-225
Decomposition-Based Algorithms for Mixed-Integer Linear Programs with Integer Subproblems
María-I. Restrepo, Bernard Gendron, Louis-Martin Rousseau
Pages 227-257
Perspectives on Using Benders Decomposition to Solve Two-Stage Stochastic Mixed-Integer Programs
Mike Hewitt, Walter Rei
Pages 259-276
Decomposition Methods for Choice-Based Optimization Models
Shadi Sharif Azadeh, Meritxell Pacheco Paneque, Michel Bierlaire
Pages 277-307
Application-Oriented Developments
Front Matter
Pages 309-309
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The Static Elevator Dispatching Problem with Destination Control
Camille Richer, Michel Bierlaire, Fabian Torres
Pages 311-343
Flow-Based Robustness in Consistent Home Care Service Delivery
Paola Cappanera, Maria Grazia Scutellà
Pages 345-377
Production Inventory Technician Routing Problem: A Bi-objective Post-sales Application
Alline Zanette, Michel Gendreau, Walter Rei
Pages 379-405
Express Package Delivery Optimization Using Walkers, Cargo Tricycles and Delivery Trucks
Patrick Meredith-Karam, Jia Hui Jiang, Sina Bahrami, Matthew J. Roorda
Pages 407-429
(https://link.springer.com/book/10.1007/978-3-031-57603-4)

Combinatorial Optimization represents a major component of Operations Research, Mathematical Programming, and, in a broader sense, the development of digital intelligence (and society). It covers, in particular, such important areas as network design, location, routing, and scheduling, with major applications in transportation, logistics, health systems, production, communications, and energy.

Starting from the exceptional contribution Professor Bernard Gendron made to combinatorial optimization and its applications in multiple areas, the book presents a state-of-the-art view on the field through a combination of surveys, expository articles, and focused methodological and applied research. The authors hail from various Operations Research areas and institutions around the world. Having collaborated closely with Professor Gendron, they drew on his foundational work to showcase a variety of models and algorithms that draw a living picture of the multifaceted word of applied combinatorial optimization.

(https://link.springer.com/book/10.1007/978-3-031-57603-4)

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