Isbn: 9783031117121 - meta heuristic techniques in software engineering and its applications: metasoft 2022: 1 (10 risultati)

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  • Lingua: Inglese

    Editore: Springer, 2022

    3031117123 / 9783031117121

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    Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand

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  • Lingua: Inglese

    Editore: Springer, 2022

    3031117123 / 9783031117121

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  • Lingua: Inglese

    Editore: Springer, 2022

    3031117123 / 9783031117121

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses an integration of machine learning with metaheuristic techniques that provide more robust and efficient ways to address traditional optimization problems. Modern metaheuristic techniques, along with their main characteristics and recent applications in artificial intelligence, software engineering, data mining, planning and scheduling, logistics and supply chains, are discussed in this book and help global leaders in fast decision making by providing quality solutions to important problems in business, engineering, economics and science. Novel ways are also discovered to attack unsolved problems in software testing and machine learning. The discussionon foundations of optimization and algorithms leads beginners to apply current approaches to optimization problems. The discussed metaheuristic algorithms include genetic algorithms, simulated annealing, ant algorithms, bee algorithms and particle swarm optimization. New developments on metaheuristics attract researchers and practitioners to apply hybrid metaheuristics in real scenarios.…

  • Lingua: Inglese

    Editore: Springer, 2022

    3031117123 / 9783031117121

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    Da: Books Puddle, Woodside, NY, U.S.A.Books Puddle

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    Condizione: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.

  • Lingua: Inglese

    Editore: Springer, 2022

    3031117123 / 9783031117121

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    Da: Buchpark, Trebbin, GermaniaBuchpark

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    Condizione: Hervorragend. Zustand: Hervorragend | Seiten: 368 | Sprache: Englisch | Produktart: Bücher | This book discusses an integration of machine learning with metaheuristic techniques that provide more robust and efficient ways to address traditional optimization problems. Modern metaheuristic techniques, along with their main characteristics and recent applications in artificial intelligence, software engineering, data mining, planning and scheduling, logistics and supply chains, are discussed in this book and help global leaders in fast decision making by providing quality solutions to important problems in business, engineering, economics and science. Novel ways are also discovered to attack unsolved problems in software testing and machine learning. The discussion on foundations of optimization and algorithms leads beginners to apply current approaches to optimization problems. The discussed metaheuristic algorithms include genetic algorithms, simulated annealing, ant algorithms, bee algorithms and particle swarm optimization. New developments on metaheuristics attract researchers and practitioners to apply hybrid metaheuristics in real scenarios.…

  • Lingua: Inglese

    Editore: Springer International Publishing Okt 2022, 2022

    3031117123 / 9783031117121

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    EUR 160,49

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    Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book discusses an integration of machine learning with metaheuristic techniques that provide more robust and efficient ways to address traditional optimization problems. Modern metaheuristic techniques, along with their main characteristics and recent applications in artificial intelligence, software engineering, data mining, planning and scheduling, logistics and supply chains, are discussed in this book and help global leaders in fast decision making by providing quality solutions to important problems in business, engineering, economics and science. Novel ways are also discovered to attack unsolved problems in software testing and machine learning. The discussionon foundations of optimization and algorithms leads beginners to apply current approaches to optimization problems. The discussed metaheuristic algorithms include genetic algorithms, simulated annealing, ant algorithms, bee algorithms and particle swarm optimization. New developments on metaheuristics attract researchers and practitioners to apply hybrid metaheuristics in real scenarios. 368 pp. Englisch. …

  • Lingua: Inglese

    Editore: Springer International Publishing, 2022

    3031117123 / 9783031117121

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    Da: moluna, Greven, Germaniamoluna

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    Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents recent Metaheuristic Techniques in Software Engineering and its ApplicationsCovers proceedings of the International Conference on Metaheuristics in Software Engineering and its ApplicationWritten by experts in the fieldT.…

  • Lingua: Inglese

    Editore: Springer, 2022

    3031117123 / 9783031117121

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    Da: Majestic Books, Hounslow, Regno UnitoMajestic Books

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    EUR 223,78

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  • Lingua: Inglese

    Editore: Springer, Springer Okt 2022, 2022

    3031117123 / 9783031117121

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    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    EUR 160,49

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    Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book discusses an integration of machine learning with metaheuristic techniques that provide more robust and efficient ways to address traditional optimization problems. Modern metaheuristic techniques, along with their main characteristics and recent applications in artificial intelligence, software engineering, data mining, planning and scheduling, logistics and supply chains, are discussed in this book and help global leaders in fast decision making by providing quality solutions to important problems in business, engineering, economics and science. Novel ways are also discovered to attack unsolved problems in software testing and machine learning. The discussion on foundations of optimization and algorithms leads beginners to apply current approaches to optimization problems. The discussed metaheuristic algorithms include genetic algorithms, simulated annealing, ant algorithms, bee algorithms and particle swarm optimization. New developments on metaheuristics attract researchers and practitioners to apply hybrid metaheuristics in real scenarios.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 368 pp. Englisch. …

  • Lingua: Inglese

    Editore: Springer, 2022

    3031117123 / 9783031117121

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    Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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    EUR 223,54

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    Condizione: New. PRINT ON DEMAND.