Talbi Parallel Combinatorial Optimization

1. Auflage 2007
ISBN: 978-0-470-05391-1
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 364 Seiten, E-Book

Reihe: Wiley Series on Parallel and Distributed Computing

This text provides an excellent balance of theory and application that enables you to deploy powerful algorithms, frameworks, and methodologies to solve complex optimization problems in a diverse range of industries. Each chapter is written by leading experts in the fields of parallel and distributed optimization. Collectively, the contributions serve as a complete reference to the field of combinatorial optimization, including details and findings of recent and ongoing investigations.

Autoren/Hrsg.

Talbi, El-Ghazali

Inhaltsverzeichnis

Preface.
Acknowledgments.
Contributors.
1. Parallel Branch-and-Bound Algorithms (T. Crainic, B.Lecun, C. Roucairol).
2. Parallel Dynamic Programming (F. Almeida, D. Gonzalez, I.Pelaez).
3. Parallel Branch and Cut (T. Ralphs).
4. Parallel Semidefinite Programming and CombinatorialOptimization (S. J. Benson).
5. Parallel Resolution of the Satisfiability Problem: A Survey(D. Singer).
6. Parallel Metaheuristics: Algorithms and Frameworks (N.Melab, E-G. Talbi, S. Cahon, E. Alba, G. Luque).
7. Towards Parallel Design of Hybrids between Metaheuristics andExact Methods (M. Basseur, L. Jourdan, E-G. Talbi).
8. Parallel Exact Methods for Multiobjective CombinatorialOptimization (C. Dhaenens, J. Lemesre, N. Melab, M. Mezmaz, E-G.Talbi).
9. Parallel Primal-Dual Interior Point Methods for SemidefinitePrograms (M. Yamashita, K. Fujisawa, M. Fukuda, M. Kojima, K.Nakata).
10. MW: A Software Framework for Combinatorial Optimization onComputational Grids (W. Glankwamdee, T. Linderoth).
11. Constraint Logic Programming on Multiple Processors (I.Sakellariou, I. Vlahavas).
12. Application of Parallel Metaheuristics to OptimizationProblems in Telecommunications and Bioinformatics (S. L.Martins, C. Ribeiro, I. Rosseti).
Index.

Über Autor(innen)

EL-GHAZALI TALBI, PHD, is Professor in the Computer Science Laboratory of the University of Lille, France. His research interests include parallel algorithms for combinatorial optimization and their applications to generic and real-world problems. Dr. Talbi leads the OPAC (Parallel Cooperative Optimization) research team; is the scientific leader of the INRIA DOLPHIN project dealing with distributed multi-objective optimization; and is active in several research and industrial projects, publications, and international conferences in the field.