Advances in Computational and Stochastic Optimization, Logic Programming, and Heuristic Search Interfaces in Computer Science and Operations Research
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 v...
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Format: | eBook |
Language: | English |
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New York, NY
Springer US
1998, 1998
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Edition: | 1st ed. 1998 |
Series: | Operations Research/Computer Science Interfaces Series
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Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
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