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  • Diego Oliva; Essam H. Houssein; Salvador Hinojosa
    978-3-030-70542-8
    2021
    Edition 1
    • Provides representative tools used for machine learning and metaheuristic algorithms
    • Focuses on the theory and application of metaheuristic algorithms in machine learning, including hybridization and implementations in different fields
    • Is self-explained and explains the used algorithm, the selected problem, and the implementation
    • Offers practical examples, comparisons, and experimental results
    • Presents topics which are selected based on their importance and complexity in the field, for example, biochemistry, image processing, clustering, feature selection, energy, among others

    €300

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