The Next Wave in Computing, Optimization, and Decision Technologies
(Sprache: Englisch)
Computer Science and Operations Research continue to have a synergistic relationship and this book represents the results of the cross-fertilization between OR/MS and CS/AI. It is this interface of OR/CS that makes possible advances that could not have been...
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Produktdetails
Produktinformationen zu „The Next Wave in Computing, Optimization, and Decision Technologies “
Klappentext zu „The Next Wave in Computing, Optimization, and Decision Technologies “
Computer Science and Operations Research continue to have a synergistic relationship and this book represents the results of the cross-fertilization between OR/MS and CS/AI. It is this interface of OR/CS that makes possible advances that could not have been achieved in isolation. Taken collectively, these articles are indicative of the state of the art in the interface between OR/MS and CS/AI and of the high-caliber research being conducted by members of the INFORMS Computing Society.
Inhaltsverzeichnis zu „The Next Wave in Computing, Optimization, and Decision Technologies “
- On the Complexity of Delaying an Adversary's Project- A Note on Eswaran and Tarjan's Algorithm for the Strong Connectivity Augmentation Problem
- Generating Set Partitioning Test Problems with Known Optimal Integer Solutions
- Computational Aspects of Controlled Tabular Adjustment: Algorithm and Analysis
- The SYMPHONY Callable Library for Mixed Integer Programming
- Hybrid Graph Heuristics Within a Hyper-Heuristic Approach to Exam Timetabling Problems
- Metaheuristics Comparison for the Minimum Labelling Spanning Tree Problem
- A New Tabu Search Heuristic for the Site-Dependent Vehicle Routing Problem
- A Heuristic Method to Solve the Size Assortment Problem
- Heuristic Methods for Solving Euclidean Non-Uniform Steiner Tree Problems
- Modeling and Solving a Selection and Assignment Problem
- Solving the Time Dependent Traveling Salesman Problem
- The Maximal Multiple-Representation Species Problem Solved Using Heuristic Concentration
- Fast and Efficient Model-Based Clustering with the Ascent-EM Algorithm
- Statistical Learning Theory in Equity Return Forecasting
- Sample Path Derivatives for (s, S) Inventory Systems with Price Determination
- Network and Graph Markup Language (NAGML): Data File Formats
- Software Quality Assurance for Mathematical Modeling Systems
- Model Development and Optimization with Mathematica
- Verification of Business Process Designs Using MAPS
- ALPS: A Framework for Implementing Parallel Tree Search Algorithms
- Tabu Search Enhanced Markov Blanket Classifier for High Dimensional Data Sets
- Dance Music Classification Using Inner Metric Analysis
- Assessing Cluster Quality Using Multiple Measures: A Decision Tree Based Approach
- Dispersion of Group Judgments
Bibliographische Angaben
- 2014, 2005, IX, 396 Seiten, Masse: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Bruce L. Golden, S. Raghavan, Edward A. Wasil
- Verlag: Springer, Berlin
- ISBN-10: 1461498511
- ISBN-13: 9781461498513
Sprache:
Englisch
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