Computing Tools for Modeling, Optimization and Simulation

Computing Tools for Modeling, Optimization and Simulation : Interfaces in Computer Science and Operations Research

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Computing Tools for Modeling, Optimization and Simulation reflects the need for preserving the marriage between operations research and computing in order to create more efficient and powerful software tools in the years ahead. The 17 papers included in this volume were carefully selected to cover a wide range of topics related to the interface between operations research and computer science. The volume includes the now perennial applications of rnetaheuristics (such as genetic algorithms, scatter search, and tabu search) as well as research on global optimization, knowledge management, software rnaintainability and object-oriented modeling. These topics reflect the complexity and variety of the problems that current and future software tools must be capable of tackling. The OR/CS interface is frequently at the core of successful applications and the development of new methodologies, making the research in this book a relevant reference in the future.
The editors' goal for this book has been to increase the interest in the interface of computer science and operations research. Both researchers and practitioners will benefit from this book. The tutorial papers may spark the interest of practitioners for developing and applying new techniques to complex problems. In addition, the book includes papers that explore new angles of well-established methods for problems in the area of nonlinear optimization and mixed integer programming, which seasoned researchers in these fields may find fascinating.
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Product details

  • Hardback | 317 pages
  • 165.1 x 238.8 x 25.4mm | 680.4g
  • Dordrecht, Netherlands
  • English
  • 2000 ed.
  • VIII, 317 p.
  • 0792377184
  • 9780792377184

Table of contents

Preface. 1. Multi-Start and Strategic Oscillation Methods - Principles to Exploit Adaptive Memory; F. Glover. 2. Building a High-Quality Decision Tree with a Genetic Algorithm; Zhiwei Fu, et al. 3. Sequential Testing of Series-Parallel Systems of Small Depth; E. Boros, T. Unluyurt. 4. Conveying Problem Structure from an Algebraic Modeling Language to Optimization Algorithms; R. Fourer, D.M. Gay. 5. Solving General Ring Network Design Problems by Meta-Heuristics; A. Fink, et al. 6. Lagrangean/Surrogate Heuristics for p-Median Problems; E.L.F. Senne, L.A.N. Lorena. 7. An Introduction to Ant Systems; E.D. Taillard. 8. Extremal Energy Models and Global Optimization; J.D. Pinter. 9. A Simulation-Based Policy Iteration Algorithm for Average Cost Unichain Markov Decision Processes; Ying He, et al. 10. Knowledge Management and its Impact on Decision Support; R.T. Herschel, et al. 11. Heuristics for Minimum Cost Steady-State Gas Transmission Networks; Seongbae Kim, et al. 12. Assigning Proctors to Exams with Scatter Search; R. Marti, et al. 13. Multi-Attribute Evaluation of Software Maintainability; N. Meskens, F. Lebon. 14. Explicit-Constraint-Branching for Solving Mixed-Integer Programs; J.A. Appleget, R.K. Wood. 15. An Object-oriented Graphical Modeler for Optimal Production Planning in a Refinery; M. Draman, et al. 16. Optimization of Water Distribution Systems by a Tabu Search Metaheuristic; A. Fanni, et al. 17. Scatter Search to Generate Diverse MIP Solutions, F. Glover, etal.
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