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Intelligent optimization algorithm theory (2 risultati)

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  • Editore: MDPI AG, 2026

    3725888396 / 9783725888399

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    Da: preigu, Osnabrück, Germaniapreigu

    Venditore con 5 stelle
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    Condizione: Nuovo

    EUR 142,70

    EUR 70,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 5 disponibili

    Buch. Condizione: Neu. Intelligent Optimization Algorithm | Theory and Applications | Buch | Englisch | 2026 | MDPI AG | EAN 9783725888399 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

  • Editore: MDPI AG

    3725888396 / 9783725888399

    • Print on Demand

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

    Venditore con 5 stelle
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    Condizione: Nuovo

    EUR 129,39

    EUR 35,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 2 disponibili

    Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Intelligent optimization algorithms (IOAs) are a branch of artificial intelligence that emphasizes developing and applying data-driven methods to solve complex search, learning, and simulation problems. Many real-world applications for complex industrial engineering or design problems could be modeled as searching, learning, and simulation problems. Given their learning ability, IOAs are emerging approaches that utilize advanced computational power, metaheuristic algorithms, and massive data processing techniques. These approaches have been actively investigated and applied to many real-world applications, such as scheduling and logistics operations.IOAs, inspired by biological or social phenomena, encompass a range of search and optimization techniques. They include bio-inspired intelligent algorithms, evolutionary computation methods, and swarm intelligence. With these methods, optimization problems, which can be formulated in any form, do not need to be expressed as continuous, differentiable functions. The only requirement for representing optimization problems is to evaluate each individual by its fitness value. Therefore, IOAs are used to solve more general optimization problems, especially those that are difficult to solve with traditional hill-climbing algorithms.…