E-Book, Englisch, Band 29, 396 Seiten
Reihe: Operations Research/Computer Science Interfaces Series
Golden / Raghavan / Wasil The Next Wave in Computing, Optimization, and Decision Technologies
1. Auflage 2006
ISBN: 978-0-387-23529-5
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, Band 29, 396 Seiten
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.
Autoren/Hrsg.
Weitere Infos & Material
1;Contents;6
2;Preface;9
3;NETWORKS;10
3.1;ON THE COMPLEXITY OF DELAYING AN ADVERSARY'S PROJECT;11
3.2;A NOTE ON ESWARAN AND TARJAN'S ALGORITHM FOR THE STRONG CONNECTIVITY AUGMENTATION PROBLEM;26
4;INTEGER AND MIXED INTEGER PROGRAMMING;34
4.1;GENERATING SET PARTITIONING TEST PROBLEMS WITH KNOWN OPTIMAL INTEGER SOLUTIONS;35
4.2;COMPUTATIONAL ASPECTS OF CONTROLLED TABULAR ADJUSTMENT: ALGORITHM AND ANALYSIS;51
4.3;THE SYMPHONY CALLABLE LIBRARY FOR MIXED INTEGER PROGRAMMING;66
5;HEURISTIC SEARCH;82
5.1;HYBRID GRAPH HEURISTICS WITHIN A HYPER- HEURISTIC APPROACH TO EXAM TIMETABLING PROBLEMS;83
5.2;METAHEURISTICS COMPARISON FOR THE MINIMUM LABELLING SPANNING TREE PROBLEM;96
5.3;A NEW TABU SEARCH HEURISTIC FOR THE SITE- DEPENDENT VEHICLE ROUTING PROBLEM;110
5.4;A HEURISTIC METHOD TO SOLVE THE SIZE ASSORTMENT PROBLEM;123
5.5;HEURISTIC METHODS FOR SOLVING EUCLIDEAN NON- UNIFORM STEINER TREE PROBLEMS;135
5.6;MODELING AND SOLVING A SELECTION AND ASSIGNMENT PROBLEM;151
5.7;SOLVING THE TIME DEPENDENT TRAVELING SALESMAN PROBLEM;165
5.8;THE MAXIMAL MULTIPLE- REPRESENTATION SPECIES PROBLEM SOLVED USING HEURISTIC CONCENTRATION;185
6;STOCHASTIC MODELING;201
6.1;FAST AND EFFICIENT MODEL-BASED CLUSTERING WITH THE ASCENT- EM ALGORITHM;202
6.2;STATISTICAL LEARNING THEORY IN EQUITY RETURN FORECASTING;214
6.3;SAMPLE PATH DERIVATIVES FOR ( s, S) INVENTORY SYSTEMS WITH PRICE DETERMINATION;230
7;SOFTWARE AND MODELING;248
7.1;NETWORK AND GRAPH MARKUP LANGUAGE ( NaGML) - DATA FILE FORMATS;249
7.2;SOFTWARE QUALITY ASSURANCE FOR MATHEMATICAL MODELING SYSTEMS;267
7.3;MODEL DEVELOPMENT AND OPTIMIZATION WITH Mathematica ™;285
7.4;VERIFICATION OF BUSINESS PROCESS DESIGNS USING MAPS;303
7.5;ALPS: A FRAMEWORK FOR IMPLEMENTING PARALLEL TREE SEARCH ALGORITHMS;319
8;CLASSIFICATION, CLUSTERING, AND RANKING;335
8.1;TABU SEARCH ENHANCED MARKOV BLANKET CLASSIFIER FOR HIGH DIMENSIONAL DATA SETS;336
8.2;DANCE MUSIC CLASSIFICATION USING INNER METRIC ANALYSIS ;354
8.3;ASSESSING CLUSTER QUALITY USING MULTIPLE MEASURES - A DECISION TREE BASED APPROACH;370
8.4;DISPERSION OF GROUP JUDGMENTS;384
