Optimization Techniques for Solving Complex Problems (Hardcover)
Enrique Alba
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Aggiungere al carrelloVenduto da CitiRetail, Stevenage, Regno Unito
Venditore AbeBooks dal 29 giugno 2022
Condizione: Nuovo
Quantitą: 1 disponibili
Aggiungere al carrelloHardcover. Real-world problems and modern optimization techniques to solve them 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 Onecovers methodologies for complex problem solving including genetic programming, neural networks, genetic algorithms, hybrid evolutionary algorithms, and more. Part Twodelves 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. Real-world problems and modern optimization techniques to solve them 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Codice articolo 9780470293324
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.
ENRIQUE ALBA is a Professor of Data Communications and Evolutionary Algorithms at the University of Mįlaga, Spain. CHRISTIAN BLUM is a Research Fellow at the ALBCOM research group of the Universitat Politčcnica de Catalunya, Spain. PEDRO ISASI??is a Professor of Artificial Intelligence at the University Carlos III of Madrid, Spain. COROMOTO LEÓN is a Professor of Language Processors and Distributed Programming at the University of La Laguna, Spain. JUAN ANTONIO??GÓMEZ is a Professor of Computer Architecture and Reconfigurable Computing at the University of Extremadura, Spain.??
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Quantitą dell?ordine | Da 7 a 60 giorni lavorativi | Da 7 a 14 giorni lavorativi |
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