Overview

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. The first section of the text 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 modelling, 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.

Full Product Details

Author:   Hemant K. Bhargava ,  Nong Ye
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   2003 ed.
Volume:   21
Dimensions:   Width: 15.50cm , Height: 2.00cm , Length: 23.50cm
Weight:   1.440kg
ISBN:  

9781402072956

ISBN 10:   1402072953
Pages:   325
Publication Date:   31 December 2002
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

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

Reviews

Author Information

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions