Document Type
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BL
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Record Number
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844858
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Main Entry
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Gonzalez, Teofilo F.
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Title & Author
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Handbook of Approximation Algorithms and Metaheuristics, Second Edition : : Methologies and Traditional Applications, Volume 1.
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Edition Statement
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2nd ed.
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Publication Statement
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Milton :: Chapman and Hall/CRC,, 2018.
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Series Statement
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Chapman and Hall/CRC Computer and Information Science Ser.
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Page. NO
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1 online resource (817 pages)
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ISBN
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1351236407
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: 1351236415
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: 9781351236409
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: 9781351236416
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1498770118
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9781498770118
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Contents
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Cover; Half Title; Title Page; Copyright Page; Dedication; Table of Contents; Preface; Contributors; 1: Introduction, Overview, and Notation; SECTION I: Basic Methodologies; 2: Basic Methodologies and Applications; 3: Restriction Methods; 4: Greedy Methods; 5: Recursive Greedy Methods; 6: Local Ratio; 7: LP Rounding and Extensions; 8: Polynomial Time Approximation Schemes; 9: Rounding, Interval Partitioning and Separation; 10: Asymptotic Polynomial Time Approximation Schemes; 11: Randomized Approximation Techniques; 12: Distributed Approximation Algorithms via LP-Duality and Randomization.
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13: Empirical Analysis of Randomised Algorithms14: Reductions That Preserve Approximability; 15: Differential Ratio Approximation; SECTION II: Local Search, Neural Networks, and Metaheuristics; 16: Local Search; 17: Stochastic Local Search; 18: Very Large-Scale Neighborhood Search: Theory, Algorithms, and Applications; 19: Reactive Search: Machine Learning for Memory-Based Heuristics; 20: Neural Networks; 21: Principles and Strategies of Tabu Search; 22: Evolutionary Computation; 23: An Introduction to Ant Colony Optimization.
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32: Practical Algorithms for Two-Dimensional Packing of Rectangles33: Practical Algorithms for Two-Dimensional Packing of General Shapes; 34: Prize Collecting Traveling Salesman and Related Problem; 35: A Development and Deployment Framework for Distributed Branch-and-Bound; 36: Approximations for Steiner Minimum Trees; 37: Practical Approximations of Steiner Trees in Uniform Orientation Metrics; 38: Algorithms for Chromatic Sums, Multicoloring, and Scheduling Dependent Jobs; 39: Approximation Algorithms and Heuristics for Classical Planning; 40: Generalized Assignment Problem.
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41: Linear Ordering Problem42: Submodular Functions Maximization Problems; Index.
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SECTION III: Multiobjective Optimization, Sensitivity Analysis, and Stability24: Stochastic Local Search Algorithms for Multiobjective Combinatorial Optimization: A Review; 25: Reoptimization of Hard Optimization Problems; 26: Sensitivity Analysis in Combinatorial Optimization; 27: Stability of Approximation; SECTION IV: Traditional Applications; 28: Performance Guarantees for One Dimensional Bin Packing; 29: Variants of Classical One Dimensional Bin Packing; 30: Variable Sized Bin Packing and Bin Covering; 31: Multidimensional Packing Problems.
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Abstract
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Through contributions from leading experts, this book provides a comprehensive introduction to the underlying theory and methodologies, as well as the various applications of approximation algorithms and metaheuristics. --
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Subject
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Computer algorithms, Handbooks, manuals, etc.
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Subject
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Heuristic algorithms-- Data processing, Handbooks, manuals, etc.
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Subject
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Mathematical optimization, Handbooks, manuals, etc.
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Subject
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Metaheuristics.
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Subject
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Computer algorithms.
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Subject
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Mathematical optimization.
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Subject
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Metaheuristics.
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Dewey Classification
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005.1
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LC Classification
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QA76.9.A43.H36 2017
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