
Parallel Metaheuristics - A New Class of Algorithms
E. Alba(Author)
Wiley (Publisher)
Published on 3. October 2005
Software
Other digital
566 pages
978-0-471-73938-8 (ISBN)
Description
With the proliferation of parallel computers and faster community networks, parallel metaheuristics are an effective alternative to speed up the search for approximate solutions of optimizations problems and allow solving larger problems while leading to more efficient algorithms. "Parallel Metaheuristics" provides a single, up-to-date reference on parallel metaheuristic issues: Edited single source to fill a gap on metaheuristics by discussing parallelism (contributors are authors of outstanding cutting-edge works in the field); Includes sequential and parallel techniques, up-to-date modern optimization and learning procedures, and complex applications; Real-world problem solutions throughout; and for researchers in the field and with introductory parts suited for beginners.
More details
Language
English
Place of publication
New York
United States
Publishing group
John Wiley and Sons Ltd
Target group
College/higher education
Professional and scholarly
Weight
10 gr
ISBN-13
978-0-471-73938-8 (9780471739388)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

E-Book
09/2005
Wiley
€148.99
Available for download