E Book

The Next Wave in Computing, Optimization, and Decision Technologies

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Network -- On the Complexity of Delaying an Adversary’s Project -- A Note on Eswaran and Tarjan’s Algorithm for the Strong Connectivity Augmentation Problem -- Integer and Mixed Integer Programming -- 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 -- Heuristic Search -- 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 -- Stochastic Modeling -- 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 -- Software and Modeling -- 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 -- Classification, Clustering, and Ranking -- 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.THE NEXT WAVE IN COMPUTING, OPTIMIZATION, AND DECISION TECHNOLOGIES is divided into six sections. The first section contains two papers on network models. The second section focuses in integer and mixed integer programming. The third section contains papers in which heuristic search and metaheuristics are applied. Three papers using stochastic modeling comprise the fourth section. In the fifth section, the unifying theme is software and modeling. The sixth section contains four papers on classification, clustering, and ranking. Each article in the volume has been carefully reviewed and revised accordingly. 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.

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Ketersediaan

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Informasi Detail

Judul Seri

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No. Panggil

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Penerbit

Boston : Springer., 2005

Deskripsi Fisik

IX, 396 p.online resource.

Bahasa

English

ISBN/ISSN

9780387235295

Klasifikasi

004.0151

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

1st ed.

Subjek

Artificial intelligence.
Mathematical optimization.
Optimization.
Computer mathematics.
Computer science—Mathematics.
Management science.
Operations research.
Decision making.
Operations Research/Decision Theory.
Mathematics of Computing.
Operations Research, Management Science.
Computational Mathematics and Numerical Analysis.

Info Detail Spesifik

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Pernyataan Tanggungjawab

Bruce L. Golden, S. Raghavan, Edward A. Wasil.

Versi lain/terkait

Lampiran Berkas

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