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.