METAHEURISTICS AND SOLVING COMPLEX PROBLEMS

Carlos Eduardo Maldonado, Enrique Alba, Pedro Isasi, Christian Blum, Coromoto Leon

Resultado de la investigación: Contribución a una revistaArtículorevisión exhaustiva

3 Citas (Scopus)

Resumen

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 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
Idioma originalInglés estadounidense
Páginas (desde-hasta)169-185
PublicaciónRevista Colombiana de De Filosofía De La Ciencia
Volumen16
N.º33
DOI
EstadoPublicada - may 2016

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