Overview

Computer Science and Operations Research continue to have a synergistic relationship and this book - as a part of the Operations Research and Computer Science Interface Series - sits squarely in the center of the confluence of these two technical research communities. The research presented in the volume is evidence of the expanding frontiers of these two intersecting disciplines and provides researchers and practitioners with new work in the areas of logic programming, stochastic optimization, heuristic search and post-solution analysis for integer programs. The chapter topics span the spectrum of application level. Some of the chapters are highly applied and others represent work in which the application potential is only beginning. In addition, each chapter contains expository material and reviews of the literature designed to enhance the participation of the reader in this expanding interface.

Full Product Details

Author:   David L. Woodruff
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of hardcover 1st ed. 1998
Volume:   9
Dimensions:   Width: 15.50cm , Height: 1.70cm , Length: 23.50cm
Weight:   0.498kg
ISBN:  

9781441950239

ISBN 10:   1441950230
Pages:   312
Publication Date:   07 December 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

1 Constraint Satisfaction Methods.- 2 Extending a General-Purpose Algebraic Modeling Language to Combinatorial Optimization: A Logic Programming Approach.- 3 Disjunctive Programming and Cooperating Solvers.- 4 An Annotated Bibliography for Post-solution Analysis in Mixed Integer Programming and Combinatorial Optimization.- 5 Stochastic Knapsack Problem.- 6 Sample-Path Solutions for Simulation Optimization Problems and Stochastic Variational Inequalities.- 7 Play Selection in American Football: a Case Study in Neuro-Dynamic Programming.- 8 Tabu Search Candidate List Strategies in Scheduling.- 9 GA’s and Surrogate Constraints for MCKPs.- 10 Introduction to Genetic Heuristics and Vehicle Routing Problems with Complex Constraints.- 11 A Genetic Algorithm for the Clustered Traveling Salesman Problem with a Prespecified Order on the Clusters.- 12 A New Algorithm for the Site-Dependent Vehicle Routing Problem.

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