Parallel Combinatorial Optimization

Front Cover
El-Ghazali Talbi
Wiley, Oct 13, 2006 - Computers - 352 pages
1 Review
Learn to solve complex problems with efficient parallel optimization algorithms

This text provides an excellent balance of theory and application that enables readers 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.

Readers learn to solve large-scale problems quickly and efficiently with the text's clear coverage of several parallel optimization algorithms: Exact algorithms, including branch and bound, dynamic programming, branch and cut, semidefinite programming, and constraint programmingMetaheuristics, including local search, tabu search, simulated annealing, scatter search, GRASP, variable neighborhood search, ant colonies, genetic programming, evolution strategies, and genetic algorithmsHybrid approaches, combining exact algorithms and metaheuristicsMulti-objective optimization algorithms

The text not only presents parallel algorithms and applications, but also software frameworks and libraries that integrate parallel algorithms for combinatorial optimization. Among the well-known parallel and distributed frameworks covered are COIN, ParadisEO, BOB++, MW, and SDPARA.

Numerous real-world examples of problems and solutions demonstrate how parallel combinatorial optimization is applied in such fields as telecommunications, logistics, genomics, networking, and transportation. Whether you are a practicing engineer, field researcher, or student, this text provides you with not only the theory of parallel combinatorial optimization, but the guidance and practical tools to solve complex problems using powerful algorithms.

From inside the book

What people are saying - Write a review

We haven't found any reviews in the usual places.

Contents

Parallel BranchandBound Algorithms
1
Parallel Dynamic Programming
29
Parallel Branch and Cut
53
Copyright

10 other sections not shown

Common terms and phrases

References to this book

About the author (2006)

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.

Bibliographic information