E-Book, Englisch, Band 29, 396 Seiten, eBook
Reihe: Operations Research/Computer Science Interfaces Series
Golden / Raghavan / Wasil The Next Wave in Computing, Optimization, and Decision Technologies
2005
ISBN: 978-0-387-23529-5
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, Band 29, 396 Seiten, eBook
Reihe: Operations Research/Computer Science Interfaces Series
ISBN: 978-0-387-23529-5
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
–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.




