Combinatorial optimization and applications: a tribute to Bernard Gendron
Zusammenfassung: 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 scheduli...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer Nature Switzerland, Imprint: Springer
2024
|
| Ausgabe: | 1st ed. 2024 |
| Schriftenreihe: | International Series in Operations Research & Management Science
358 |
| Schlagworte: | |
| Zusammenfassung: | Zusammenfassung: 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 |
| Beschreibung: | 506 Seiten |
| ISBN: | 9783031576027 |
Internformat
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| 245 | 1 | 0 | |a Combinatorial optimization and applications |b a tribute to Bernard Gendron |c edited by Teodor Gabriel Crainic, Michel Gendreau, Antonio Frangioni |
| 250 | |a 1st ed. 2024 | ||
| 264 | 1 | |a Cham |b Springer Nature Switzerland, Imprint: Springer |c 2024 | |
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| 505 | 8 | |a Bernard Gendron and Operations Research -- Methodological Developments -- Variable Neighbourhood Search with Dynamic Exploration for the Set Union Knapsack Problem -- Common-Flow Formulations for the Diameter Constrained Spanning Tree Problem -- Models and Methods for Two-Level Uncapacitated Facility Location Problem -- Facility Location: A Guide to Modeling and Solving Complex Problem Variants via Lagrangian Relaxation -- Bin Packing Problems for Capacity Planning and Last Mile Applications -- Models for Network Flow and Network Design Problems with Piecewise Linear Costs -- New Formulations for the Scheduled Service Network Design Problem with Piecewise Linear Costs -- Multi-layer Network Design for Consolidation-based Transportation Planning -- Separable Lagrangian Decomposition for Quasi-Separable Problems -- Decomposition-based Algorithms for Mixed-Integer Linear Programs with Integer Subproblems -- Perspectives on Using Benders Decomposition to Solve Two-Stage Stochastic Mixed-Integer Programs -- Decomposition Methods for Choice-Based Optimization Models -- Application-oriented Developments -- The Static Elevator Dispatching Problem with Destination Control -- Flow-based Robustness in Consistent Home Care Service Delivery -- Production Inventory Technician Routing Problem: a Bi-Objective Post-Sales Application -- Express Package Delivery Optimization Using Walkers, Cargo Tricycles and Delivery Trucks -- Integrated Location, Sizing, and Pricing for EV Charging Stations | |
| 520 | 3 | |a Zusammenfassung: 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 | |
| 650 | 0 | |a Operations research. | |
| 650 | 0 | |a Production management. | |
| 650 | 0 | |a Mathematical optimization. | |
| 653 | |a Operations Research and Decision Theory. | ||
| 653 | |a Operations Management. | ||
| 653 | |a Optimization. | ||
| 700 | 1 | |a Crainic, Teodor Gabriel |0 (DE-588)124321194 |4 edt | |
| 700 | 1 | |a Gendreau, Michel |d 1955- |0 (DE-588)143141198 |4 edt | |
| 700 | 1 | |a Frangioni, Antonio |d 1968- |0 (DE-588)1172759790 |4 edt | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-3-031-57603-4 |w (DE-604)BV049780394 |
| 830 | 0 | |a International Series in Operations Research & Management Science |v 358 |w (DE-604)BV011630976 |9 358 | |
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| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-035117893 | |
Datensatz im Suchindex
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| author_facet | Crainic, Teodor Gabriel Gendreau, Michel 1955- Frangioni, Antonio 1968- |
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| bvnumber | BV049776840 |
| callnumber-first | T - Technology |
| callnumber-label | T57 |
| callnumber-raw | T57.6-.97 |
| callnumber-search | T57.6-.97 |
| callnumber-sort | T 257.6 297 |
| callnumber-subject | T - General Technology |
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| contents | Bernard Gendron and Operations Research -- Methodological Developments -- Variable Neighbourhood Search with Dynamic Exploration for the Set Union Knapsack Problem -- Common-Flow Formulations for the Diameter Constrained Spanning Tree Problem -- Models and Methods for Two-Level Uncapacitated Facility Location Problem -- Facility Location: A Guide to Modeling and Solving Complex Problem Variants via Lagrangian Relaxation -- Bin Packing Problems for Capacity Planning and Last Mile Applications -- Models for Network Flow and Network Design Problems with Piecewise Linear Costs -- New Formulations for the Scheduled Service Network Design Problem with Piecewise Linear Costs -- Multi-layer Network Design for Consolidation-based Transportation Planning -- Separable Lagrangian Decomposition for Quasi-Separable Problems -- Decomposition-based Algorithms for Mixed-Integer Linear Programs with Integer Subproblems -- Perspectives on Using Benders Decomposition to Solve Two-Stage Stochastic Mixed-Integer Programs -- Decomposition Methods for Choice-Based Optimization Models -- Application-oriented Developments -- The Static Elevator Dispatching Problem with Destination Control -- Flow-based Robustness in Consistent Home Care Service Delivery -- Production Inventory Technician Routing Problem: a Bi-Objective Post-Sales Application -- Express Package Delivery Optimization Using Walkers, Cargo Tricycles and Delivery Trucks -- Integrated Location, Sizing, and Pricing for EV Charging Stations |
| ctrlnum | (OCoLC)1454758436 (DE-599)BVBBV049776840 |
| discipline | Wirtschaftswissenschaften |
| edition | 1st ed. 2024 |
| format | Book |
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| id | DE-604.BV049776840 |
| illustrated | Not Illustrated |
| indexdate | 2024-09-10T00:34:19Z |
| institution | BVB |
| isbn | 9783031576027 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035117893 |
| oclc_num | 1454758436 |
| open_access_boolean | |
| owner | DE-521 |
| owner_facet | DE-521 |
| physical | 506 Seiten |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | Springer Nature Switzerland, Imprint: Springer |
| record_format | marc |
| series | International Series in Operations Research & Management Science |
| series2 | International Series in Operations Research & Management Science |
| spelling | Combinatorial optimization and applications a tribute to Bernard Gendron edited by Teodor Gabriel Crainic, Michel Gendreau, Antonio Frangioni 1st ed. 2024 Cham Springer Nature Switzerland, Imprint: Springer 2024 506 Seiten txt rdacontent n rdamedia nc rdacarrier International Series in Operations Research & Management Science 358 Bernard Gendron and Operations Research -- Methodological Developments -- Variable Neighbourhood Search with Dynamic Exploration for the Set Union Knapsack Problem -- Common-Flow Formulations for the Diameter Constrained Spanning Tree Problem -- Models and Methods for Two-Level Uncapacitated Facility Location Problem -- Facility Location: A Guide to Modeling and Solving Complex Problem Variants via Lagrangian Relaxation -- Bin Packing Problems for Capacity Planning and Last Mile Applications -- Models for Network Flow and Network Design Problems with Piecewise Linear Costs -- New Formulations for the Scheduled Service Network Design Problem with Piecewise Linear Costs -- Multi-layer Network Design for Consolidation-based Transportation Planning -- Separable Lagrangian Decomposition for Quasi-Separable Problems -- Decomposition-based Algorithms for Mixed-Integer Linear Programs with Integer Subproblems -- Perspectives on Using Benders Decomposition to Solve Two-Stage Stochastic Mixed-Integer Programs -- Decomposition Methods for Choice-Based Optimization Models -- Application-oriented Developments -- The Static Elevator Dispatching Problem with Destination Control -- Flow-based Robustness in Consistent Home Care Service Delivery -- Production Inventory Technician Routing Problem: a Bi-Objective Post-Sales Application -- Express Package Delivery Optimization Using Walkers, Cargo Tricycles and Delivery Trucks -- Integrated Location, Sizing, and Pricing for EV Charging Stations Zusammenfassung: 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 Operations research. Production management. Mathematical optimization. Operations Research and Decision Theory. Operations Management. Optimization. Crainic, Teodor Gabriel (DE-588)124321194 edt Gendreau, Michel 1955- (DE-588)143141198 edt Frangioni, Antonio 1968- (DE-588)1172759790 edt Erscheint auch als Online-Ausgabe 978-3-031-57603-4 (DE-604)BV049780394 International Series in Operations Research & Management Science 358 (DE-604)BV011630976 358 1\p emakn 0,99862 20240709 DE-101 https://d-nb.info/provenance/plan#emakn 2\p emasg 0,53222 20240709 DE-101 https://d-nb.info/provenance/plan#emasg |
| spellingShingle | Combinatorial optimization and applications a tribute to Bernard Gendron Bernard Gendron and Operations Research -- Methodological Developments -- Variable Neighbourhood Search with Dynamic Exploration for the Set Union Knapsack Problem -- Common-Flow Formulations for the Diameter Constrained Spanning Tree Problem -- Models and Methods for Two-Level Uncapacitated Facility Location Problem -- Facility Location: A Guide to Modeling and Solving Complex Problem Variants via Lagrangian Relaxation -- Bin Packing Problems for Capacity Planning and Last Mile Applications -- Models for Network Flow and Network Design Problems with Piecewise Linear Costs -- New Formulations for the Scheduled Service Network Design Problem with Piecewise Linear Costs -- Multi-layer Network Design for Consolidation-based Transportation Planning -- Separable Lagrangian Decomposition for Quasi-Separable Problems -- Decomposition-based Algorithms for Mixed-Integer Linear Programs with Integer Subproblems -- Perspectives on Using Benders Decomposition to Solve Two-Stage Stochastic Mixed-Integer Programs -- Decomposition Methods for Choice-Based Optimization Models -- Application-oriented Developments -- The Static Elevator Dispatching Problem with Destination Control -- Flow-based Robustness in Consistent Home Care Service Delivery -- Production Inventory Technician Routing Problem: a Bi-Objective Post-Sales Application -- Express Package Delivery Optimization Using Walkers, Cargo Tricycles and Delivery Trucks -- Integrated Location, Sizing, and Pricing for EV Charging Stations Operations research. Production management. Mathematical optimization. International Series in Operations Research & Management Science |
| title | Combinatorial optimization and applications a tribute to Bernard Gendron |
| title_auth | Combinatorial optimization and applications a tribute to Bernard Gendron |
| title_exact_search | Combinatorial optimization and applications a tribute to Bernard Gendron |
| title_full | Combinatorial optimization and applications a tribute to Bernard Gendron edited by Teodor Gabriel Crainic, Michel Gendreau, Antonio Frangioni |
| title_fullStr | Combinatorial optimization and applications a tribute to Bernard Gendron edited by Teodor Gabriel Crainic, Michel Gendreau, Antonio Frangioni |
| title_full_unstemmed | Combinatorial optimization and applications a tribute to Bernard Gendron edited by Teodor Gabriel Crainic, Michel Gendreau, Antonio Frangioni |
| title_short | Combinatorial optimization and applications |
| title_sort | combinatorial optimization and applications a tribute to bernard gendron |
| title_sub | a tribute to Bernard Gendron |
| topic | Operations research. Production management. Mathematical optimization. |
| topic_facet | Operations research. Production management. Mathematical optimization. |
| volume_link | (DE-604)BV011630976 |
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