Titlebook: Metaheuristics in Machine Learning: Theory and Applications; Diego Oliva,Essam H. Houssein,Salvador Hinojosa Book 2021 The Editor(s) (if a

Essential

,Thresholding Algorithm Applied to Chest X-Ray Images with Pneumonia,and the Kapur’s entropy. The method is tested for the segmentation of X-ray images to visually diagnose pneumonia, determining details such as the scope, location of the infection, and some complications that may arise. To validate the efficacy of the approach with both statistical criteria, it is t

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Amnesty

occurrence

Metaheuristics in Machine Learning: Theory and Applications

EVADE

庄严

,Variable Mesh Optimization for Continuous Optimization and Multimodal Problems, proposed to solve multimodal problems, i.e. those with multiple optima at several search subspaces. The chapter uses a homogeneous algorithmic framework to describe VMO and its variants with niching strategies for multimodal problems.

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山羊

Architecture Optimization of Convolutional Neural Networks by Micro Genetic Algorithms,over three simple study cases known by the research community (MNIST, MNIST-Fashion, and MNIST-RB), and compared against two different frameworks from the literature: psoCNN, and simple genetic algorithm. The results show a better performance of the architectures found by our framework in terms of accuracy and processing time.

Indigence

A Review of Metaheuristic Optimization Algorithms in Wireless Sensor Networks,e types. Also, a wide range of scientific research works that include improving the performance of wireless sensor networks in terms of deployment, localization, and energy using optimization algorithms. Finally, the evaluation criteria for deployment and localization in wireless sensor networks are introduced.

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