Format:
506 Seiten
Edition:
1st ed. 2024
ISBN:
9783031576027
Series Statement:
International Series in Operations Research & Management Science 358
Content:
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
Note:
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
Additional Edition:
Erscheint auch als Online-Ausgabe ISBN 978-3-031-57603-4
Language:
English
Subjects:
Economics
Author information:
Crainic, Teodor Gabriel
