Description
Here, a team of international experts brings together core ideas for solving complex problems in optimization across a wide variety of real-world settings, including computer science, engineering, transportation, telecommunications, and bioinformatics.
Part One-covers methodologies for complex problem solving including genetic programming, neural networks, genetic algorithms, hybrid evolutionary algorithms, and more.
Part Two-delves into applications including DNA sequencing and reconstruction, location of antennae in telecommunication networks, metaheuristics, FPGAs, problems arising in telecommunication networks, image processing, time series prediction, and more.
All chapters contain examples that illustrate the applications themselves as well as the actual performance of the algorithms.?Optimization Techniques for Solving Complex Problems is a valuable resource for practitioners and researchers who work with optimization in real-world settings.
About the Author
ENRIQUE ALBA is a Professor of Data Communications and Evolutionary Algorithms at the University of Malaga, Spain. CHRISTIAN BLUM is a Research Fellow at the ALBCOM research group of the Universitat Politecnica de Catalunya, Spain. PEDRO ISASI??is a Professor of Artificial Intelligence at the University Carlos III of Madrid, Spain. COROMOTO LEON is a Professor of Language Processors and Distributed Programming at the University of La Laguna, Spain. JUAN ANTONIO??GOMEZ is a Professor of Computer Architecture and Reconfigurable Computing at the University of Extremadura, Spain.??
Book Information
ISBN 9780470293324
Author Enrique Alba
Format Hardback
Page Count 504
Imprint John Wiley & Sons Inc
Publisher John Wiley & Sons Inc
Weight(grams) 780g
Dimensions(mm) 238mm * 164mm * 31mm
