An Introduction to Metaheuristics for Optimization / / by Bastien Chopard, Marco Tomassini

• Autore: Chopard Bastien
• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
• Edizione: 1st ed. 2018.
• Descrizione fisica: 1 online resource (XII, 226 p. 44 illus. in color.)
• Disciplina: 519.3
• Soggetto topico: Artificial intelligence; Mathematical optimization; Computational intelligence; Operations research; Computer science; Artificial Intelligence; Optimization; Computational Intelligence; Operations Research and Decision Theory; Theory of Computation
• Persona (resp. second.): TomassiniMarco
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Problems, Algorithms, Computational Complexity -- Search Space -- Tabu Search -- Simulated Annealing -- Ant Colony Optimization (ACO) -- Non-PSO Optimization -- Firefly Algorithm, Cuckoo Algorithm, Lévy Flights -- Evolutionary Algorithms: Foundations -- Evolutionary Algorithms: Advanced -- Phase Transition in Optimization Problems -- Performance and Limitations of Metaheuristics -- Statistical Analysis of Research Spaces.
• Sommario/riassunto: The authors stress the relative simplicity, efficiency, flexibility of use, and suitability of various approaches used to solve difficult optimization problems. The authors are experienced, interdisciplinary lecturers and researchers and in their explanations they demonstrate many shared foundational concepts among the key methodologies. This textbook is a suitable introduction for undergraduate and graduate students, researchers, and professionals in computer science, engineering, and logistics.
• Titolo autorizzato: An Introduction to Metaheuristics for Optimization
• ISBN: 3-319-93073-7
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910734094403321
• Lo trovi qui: Univ. Federico II
• Serie: Natural Computing Series, . 2627-6461