Computational Modeling and Problem Solving in the Networked World: Interfaces in Computer Science and Operations Research

Overview

The first section of Computational Modeling and Problem Solving in the Networked World focuses on the reflective and integrative thinking that is critical to contemporary science - "Perspectives on Computation." This section presents philosophical perspectives on computation, covering a variety of traditional and newer modeling, solving, and explaining mathematical models. The "Machine Learning & Heuristics" section includes articles that study machine learning and computational heuristics, and is followed by...

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Paperback (Softcover reprint of the original 1st ed. 2003)
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Overview

The first section of Computational Modeling and Problem Solving in the Networked World focuses on the reflective and integrative thinking that is critical to contemporary science - "Perspectives on Computation." This section presents philosophical perspectives on computation, covering a variety of traditional and newer modeling, solving, and explaining mathematical models. The "Machine Learning & Heuristics" section includes articles that study machine learning and computational heuristics, and is followed by the "Algorithm Performance" section that addresses issues in performance testing of solution algorithms and heuristics. These two sections demonstrate the richness of thinking about solution methods that is made possible by the confluence of Computer Science and Operations Research. The final "Applications" section demonstrates how these and other methods at the interface can be used to help solve problems in the real world, covering e-commerce, workflow, electronic negotiation, music, parallel computation, and telecommunications.

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Product Details

  • ISBN-13: 9781461353669
  • Publisher: Springer US
  • Publication date: 4/30/2013
  • Series: Operations Research/Computer Science Interfaces Series , #21
  • Edition description: Softcover reprint of the original 1st ed. 2003
  • Edition number: 1
  • Pages: 325
  • Product dimensions: 6.14 (w) x 9.21 (h) x 0.71 (d)

Table of Contents

Preface
Acknowledgements
1 A Framework for Integrating Solution Methods 3
2 Computational Modeling And Explanation: Opportunities for the Information and Management Sciences 31
3 Extremal Optimization: an Evolutionary Local-Search Algorithm 61
4 Tabu and Scatter Search for Artificial Neural Networks 79
5 A Machine-Learning Approach to Optimal Bid Pricing 97
6 Grasp with Adaptive Memory Programming for Finding Good Starting Solutions to the Multicommodity Capacitated Network Design Problem 121
7 Analyzing the Impact Of Knowledge on Algorithm Performance in Discrete Optimization 139
8 A Computational Study of Three Demon Algorithm Variants for Solving the Traveling Salesman Problem 155
9 Improved PTAS for The Unit-Height Rectangle Packing Problem: A New Dynamic Programming Procedure 177
10 Mending the Lag between Commerce and Research: A Logic-based Workflow Verification Approach 191
11 Batching Techniques for Task Allocation in Workflow Systems? Towards Effective Role Resolution 213
12 RECO: Representation and evaluation of configurable offers 235
13 Mapping MIDI to the Spiral Array: Disambiguating Pitch Spellings 259
14 Fluid Models for Parallel Processor Allocation 277
15 Identifying Investment Opportunities in International Telecommunications Markets using Regression Models 303
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