Handbook on Modelling for Discrete Optimization
Edited by Gautam Appa,
Leonidas Pitsoulis and
H. Paul Williams
in International Series in Operations Research and Management Science from Springer, currently edited by Camille C. Price, Joe Zhu and Frederick S. Hillier
Date: 2006
ISBN: 978-0-387-32942-0
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Chapters in this book:
- Ch Chapter 1 The Formulation and Solution of Discrete Optimisation Models
- H. Paul Williams
- Ch Chapter 10 A Mixed-Integer Nonlinear Programming Approach to the Optimal Planning of Offshore Oilfield Infrastructures
- Susara A. Heever and Ignacio E. Grossmann
- Ch Chapter 11 Radiation Treatment Planning: Mixed Integer Programming Formulations and Approaches
- Michael C. Ferris, Robert R. Meyer and Warren D’Souza
- Ch Chapter 12 Multiple Hypothesis Correlation in Track-to-Track Fusion Management
- Aubrey B Poore, Sabino M Gadaleta and Benjamin J Slocumb
- Ch Chapter 13 Computational Molecular Biology
- Giuseppe Lancia
- Ch Chapter 2 Continuous Approaches for Solving Discrete Optimization Problems
- Panos M Pardalos, Oleg A Prokopyev and Stanislav Busygin
- Ch Chapter 3 Logic-Based Modeling
- John N Hooker
- Ch Chapter 4 Modelling for Feasibility - the Case of Mutually Orthogonal Latin Squares Problem
- Gautam Appa, Dimitris Magos, Ioannis Mourtos and Leonidas Pitsoulis
- Ch Chapter 5 Network Modelling
- Douglas R. Shier
- Ch Chapter 6 Modeling and Optimization of Vehicle Routing and Arc Routing Problems
- Jean-Francois Cordeau and Gilbert Laporte
- Ch Chapter 7 Radio Resource Management
- Katerina Papadaki and Vasilis Friderikos
- Ch Chapter 8 Strategic and Tactical Planning Models for Supply Chain: An Application of Stochastic Mixed Integer Programming
- Gautam Mitra, Chandra Poojari and Suvrajeet Sen
- Ch Chapter 9 Logic Inference and a Decomposition Algorithm for the Resource-Constrained Scheduling of Testing Tasks in the Development of New Pharmaceutical and Agrochemical Products
- Christos T. Maravelias and Ignacio E. Grossmann
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isorms:978-0-387-32942-0
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DOI: 10.1007/0-387-32942-0
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