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Operations Research and Cyber-Infrastructure
Title
Operations Research and Cyber-Infrastructure [electronic resource] / edited by John W. Chinneck, Bjarni Kristjansson, Matthew J. Saltzman.
ISBN
9780387888439
Edition
1st ed. 2009.
Publication
New York, NY : Springer US : Imprint: Springer, 2009.
Physical Description
1 online resource (VIII, 462 p.) 130 illus.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
Operations Research and Cyber-Infrastructure is the companion volume to the Eleventh INFORMS Computing Society Conference (ICS 2009), held in Charleston, South Carolina, from January 11 to 13, 2009. It includes 24 high-quality refereed research papers. As always, the focus of interest for ICS is the interface between Operations Research and Computer Science, and the papers in this volume reflect that interest. This is naturally an evolving area as computational power increases rapidly while decreasing in cost even more quickly. The papers included here illustrate the wide range of topics at this interface. For convenience, they are grouped in broad categories and subcategories. There are three papers on modeling, reflecting the impact of recent development in computing on that area. Eight papers are on optimization (three on integer programming, two on heuristics, and three on general topics, of which two involve stochastic/probabilistic processes). Finally, there are thirteen papers on applications (three on the conference theme of cyber-infrastructure, four on routing, and six on other interesting topics). Several of the papers could be classified in more than one way, reflecting the interactions between these topic areas. About the Editors John W. Chinneck is a professor in the Department of Systems and Computer Engineering at Carleton University, Ottawa, Canada. He is the Editor-in-Chief of the INFORMS Journal of Computing; a member of the editorial board of Computational Management Science; and Past Chair of the INFORMS Computing Society. Bjarni Kristjansson is the founder of Maximal Software, a leading worldwide provider of software for developing and formulating models in the field of optimization. Matthew Saltzman is an Associate Professor of Mathematical Sciences at Clemson University, Clemson, South Carolina. His research areas of interest are in Computational Operations Research and Mathematical Programming.
Variant and related titles
Springer ENIN.
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Format
Books / Online
Language
English
Added to Catalog
July 26, 2023
Series
Operations Research/Computer Science Interfaces Series, 47
Contents
Python Optimization Modeling Objects (Pyomo)
Object Oriented Modeling of Multistage Stochastic Linear Programs
Aeon: Synthesizing Scheduling Algorithms from High-Level Models
Optimization
A Branch-and-cut Algorithm for Integer Bilevel Linear Programs
A Principled Approach to Mixed Integer/Linear Problem Formulation
Experiments with Branching using General Disjunctions
A Weight Annealing Algorithm for Solving Two-dimensional Bin Packing Problems
Solving the Maximum Cardinality Bin Packing Problem with a Weight Annealing-Based Algorithm
Combinatorial Design of a Stochastic Markov Decision Process
A Primal-Dual Slack Approach to Warmstarting Interior-Point Methods for Linear Programming
Linear Dynamic Programming and the Training of Sequence Estimators
Applications
Approximate Algorithms for Maximizing the Capacity of the Reverse Link in Multiple-Class CDMA Systems
Mathematical Formulations and Metaheuristics Comparison for the Push-Tree Problem
Two-Edge Disjoint Survivable Network Design Problem with Relays
Generating Random Test Networks for Shortest Path Algorithms
A Branch-and-Price Algorithm for Combined Location and Routing Problems Under Capacity Restrictions
Using Oriented Random Search to Provide a Set of Alternative Solutions to the Capacitated Vehicle Routing Problem
Optimizing Paths in the Presence of Spherical Impediments
Tailoring Classifier Hyperplanes to General Metrics
The Multi-Sensor Nuclear Threat Detection Problem
Radiotherapy optimAl Design: An Academic Radiotherapy Treatment Design System
Integrated Forecasting and Inventory Control for Seasonal Demand
A Provably Good Global Routing Algorithm in Multilayer IC and MCM Layout Designs
Eliminating Poisson's Spot with Linear Programming.
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