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Extending the Horizons: Advances in Computing, Optimization, and Decision Technologies

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Cover of 'Extending the Horizons: Advances in Computing, Optimization, and Decision Technologies'

Table of Contents

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    Book Overview
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    Chapter 1 Improving Hurricane Prediction Through Innovative Global Modeling
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    Chapter 2 A Branch-And-Price Approach for Graph Multi-Coloring
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    Chapter 3 A Genetic Algorithm for Solving the Euclidean Non-Uniform Steiner Tree Problem
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    Chapter 4 Cardinality and the Simplex Tableau for the Set Partitioning Problem
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    Chapter 5 An Efficient Enumeration Algorithm for the Two-Sample Randomization Distribution
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    Chapter 6 An Adaptive Algorithm for the Optimal Sample Size in the Non-Stationary Data-Driven Newsvendor Problem
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    Chapter 7 A Neighborhood Search Technique for the Freeze Tag Problem
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    Chapter 8 The Colorful Traveling Salesman Problem
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    Chapter 9 Solving the Multi-Depot Location-Routing Problem with Lagrangian Relaxation
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    Chapter 10 Heuristic Approaches for a TSP Variant: The Automatic Meter Reading Shortest Tour Problem
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    Chapter 11 The Generalized Traveling Salesman Problem: A New Genetic Algorithm Approach
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    Chapter 12 Sensitivity Analysis in Simulation of Stochastic Activity Networks: A Computational Study
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    Chapter 13 Combined Discrete-Continuous Simulation Modeling of an Autonomous Underwater Vehicle
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    Chapter 14 Ex-Post Internet Charging: An Effective Bandwidth Model
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    Chapter 15 Knowledge Representation for Military Mobility Decision-Making by Humans and Intelligent Software
Attention for Chapter 2: A Branch-And-Price Approach for Graph Multi-Coloring
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Chapter title
A Branch-And-Price Approach for Graph Multi-Coloring
Chapter number 2
Book title
Extending the Horizons: Advances in Computing, Optimization, and Decision Technologies
Published by
Springer, Boston, MA, January 2007
DOI 10.1007/978-0-387-48793-9_2
Book ISBNs
978-0-387-48790-8, 978-0-387-48793-9
Authors

Anuj Mehrotra, Michael A. Trick, Mehrotra, Anuj, Trick, Michael A.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Russia 1 6%
Unknown 15 94%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 19%
Professor > Associate Professor 2 13%
Researcher 2 13%
Student > Ph. D. Student 2 13%
Other 1 6%
Other 3 19%
Unknown 3 19%
Readers by discipline Count As %
Mathematics 4 25%
Business, Management and Accounting 3 19%
Computer Science 3 19%
Engineering 2 13%
Agricultural and Biological Sciences 1 6%
Other 0 0%
Unknown 3 19%