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Optimized Packings with Applications

Overview of attention for book
Cover of 'Optimized Packings with Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Using a Bin Packing Approach for Stowing Hazardous Containers into Containerships
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    Chapter 2 Dynamic Packing with Side Constraints for Datacenter Resource Management
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    Chapter 3 Packing Optimization of Free-Form Objects in Engineering Design
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    Chapter 4 A Modeling-Based Approach for Non-standard Packing Problems
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    Chapter 5 CAST: A Successful Project in Support of the International Space Station Logistics
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    Chapter 6 Cutting and Packing Problems with Placement Constraints
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    Chapter 7 A Container Loading Problem MILP-Based Heuristics Solved by CPLEX: An Experimental Analysis
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    Chapter 8 Automatic Design of Optimal LED Street Lights
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    Chapter 9 Approximate Packing: Integer Programming Models, Valid Inequalities and Nesting
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    Chapter 10 Exploiting Packing Components in General-Purpose Integer Programming Solvers
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    Chapter 11 Robust Designs for Circle Coverings of a Square
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    Chapter 12 Batching-Based Approaches for Optimized Packing of Jobs in the Spatial Scheduling Problem
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    Chapter 13 Optimized Object Packings Using Quasi-Phi-Functions
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    Chapter 14 Graph Coloring Models and Metaheuristics for Packing Applications
Attention for Chapter 14: Graph Coloring Models and Metaheuristics for Packing Applications
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Citations

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Chapter title
Graph Coloring Models and Metaheuristics for Packing Applications
Chapter number 14
Book title
Optimized Packings with Applications
Published by
Springer, Cham, January 2015
DOI 10.1007/978-3-319-18899-7_14
Book ISBNs
978-3-31-918898-0, 978-3-31-918899-7
Authors

Nicolas Zufferey

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Computer Science 1 100%

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