Alba / Blum / Asasi Optimization Techniques for Solving Complex Problems

1. Auflage 2009
ISBN: 978-0-470-41134-6
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 504 Seiten, E-Book

Reihe: Wiley Series on Parallel and Distributed Computing

Real-world problems and modern optimization techniques to solvethem
Here, a team of international experts brings together core ideasfor solving complex problems in optimization across a wide varietyof real-world settings, including computer science, engineering,transportation, telecommunications, and bioinformatics.
Part One--covers methodologies for complex problem solvingincluding genetic programming, neural networks, genetic algorithms,hybrid evolutionary algorithms, and more.
Part Two--delves into applications including DNA sequencingand reconstruction, location of antennae in telecommunicationnetworks, metaheuristics, FPGAs, problems arising intelecommunication networks, image processing, time seriesprediction, and more.
All chapters contain examples that illustrate the applicationsthemselves as well as the actual performance of thealgorithms.?Optimization Techniques for Solving Complex Problems isa valuable resource for practitioners and researchers who work withoptimization in real-world settings.

Autoren/Hrsg.

Alba, Enrique

Blum, Christian

Asasi, Pedro

Leon, Coromoto

Gomez, Juan Antonio

Über Autor(innen)

Enrique Alba is a Professor of Data Communications andEvolutionary Algorithms at the University of Málaga, Spain.Christian Blum is a Research Fellow at the ALBCOM research group ofthe Universitat Politècnica de Catalunya, Spain.
Pedro Isasi?is a Professor of Artificial Intelligence at theUniversity Carlos III of Madrid, Spain. Coromoto León is aProfessor of Language Processors and Distributed Programming at theUniversity of La Laguna, Spain. Juan Antonio?Gómez is aProfessor of Computer Architecture and Reconfigurable Computing atthe University of Extremadura, Spain.