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Computational Modeling and Problem Solving in the Networked World

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Cover of 'Computational Modeling and Problem Solving in the Networked World'

Table of Contents

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    Book Overview
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    Chapter 1 A Framework for Integrating Solution Methods
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    Chapter 2 Computational Modeling and Explanation
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    Chapter 3 Extremal Optimization: An Evolutionary Local-Search Algorithm
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    Chapter 4 Tabu and Scatter Search for Artificial Neural Networks
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    Chapter 5 A Machine-Learning Approach to Optimal Bid Pricing
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    Chapter 6 Grasp with Adaptive Memory Programming for Finding Good Starting Solutions to the Multicommodity Capacitated Network Design Problem
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    Chapter 7 Analyzing the Impact of Knowledge on Algorithm Performance in Discrete Optimization
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    Chapter 8 A Computational Study of Three Demon Algorithm Variants for Solving the Traveling Salesman Problem
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    Chapter 9 Improved PTAs for the Unit-Height Rectangle Packing Problem: A New Dynamic Programming Procedure
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    Chapter 10 Mending the Lag Between Commerce and Research: A Logic-Based Workflow Verification Approach
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    Chapter 11 Batching Techniques for Task Allocation in Workflow Systems—Towards Effective Role Resolution
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    Chapter 12 RECO: Representation and Evaluation of Configurable Offers
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    Chapter 13 Mapping Midi to the Spiral Array: Disambiguating Pitch Spellings
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    Chapter 14 Fluid Models for Parallel Processor Allocation
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    Chapter 15 Identifying Investment Opportunities in International Telecommunications Markets Using Regression Models
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