Titlebook: Benchmarks and Hybrid Algorithms in Optimization and Applications; Xin-She Yang Book 2023 The Editor(s) (if applicable) and The Author(s),

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Book 2023sciences, engineering, and industries. The book also provides some comprehensive reviews and surveys on implementations and coding aspects of benchmarks. The book is useful for Ph.D. students and researchers with a wide experience in the subject areas and also good reference for practitioners from a

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Mark Eccleston-Turner,Iain Brassingtonnes based on metaheuristic optimization techniques. This chapter provides a comprehensive comparison among metaheuristic-based architectures for feature selection, as well as a hands-on tutorial followed by a case study using the Opytimizer(.) framework and the Na?ve Bayes classifier.

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Fungal Infection in Critically Ill Children,et Allocation (LDA), Convolutional Neural Network (CNN)), and the results demonstrate that the proposed method is at least equal to or better than the methods we used for comparison. This active learning method can be used successfully for benchmark generation of large Earth observation (EO) data sets.