Advances in Computational and Stochastic Optimization, Logic Programming, and Heuristic Search: Interfaces in Computer Science and Operations Research / Edition 1

by David L. Woodruff

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, shastic 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.

Product Details

ISBN-13:	9780792380788
Publisher:	Springer US
Publication date:	12/31/1997
Series:	Operations Research/Computer Science Interfaces Series , #9
Edition description:	1998
Pages:	312
Product dimensions:	6.10(w) x 9.25(h) x 0.03(d)

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 Shastic Knapsack Problem.- 6 Sample-Path Solutions for Simulation Optimization Problems and Shastic 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.