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Metaheuristics in Machine Learning: Theory and Applications

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 €270
10% OFF

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