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Parallel Combinatorial Optimization
El-Ghazali Talbi
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Description for Parallel Combinatorial Optimization
Hardcover. 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. Editor(s): Talbi, El-Ghazali. Series: Wiley Series on Parallel and Distributed Computing. Num Pages: 330 pages, Illustrations. BIC Classification: TJ. Category: (P) Professional & Vocational. Dimension: 235 x 162 x 22. Weight in Grams: 614.
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.
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.
Product Details
Format
Hardback
Publication date
2006
Publisher
John Wiley and Sons Ltd United Kingdom
Number of pages
330
Condition
New
Series
Wiley Series on Parallel and Distributed Computing
Number of Pages
352
Place of Publication
, United States
ISBN
9780471721017
SKU
V9780471721017
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About El-Ghazali Talbi
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 ... Read more
Reviews for Parallel Combinatorial Optimization
"The target audience will learn a lot from the book, and I hope they will be inspired…" (Computing Reviews.com, May 30, 2007)