Dalia Yousri

TL;DR: From the experimental results of AO that compared with well-known meta-heuristic methods, the superiority of the developed AO algorithm is observed.

TL;DR: In this article, the authors proposed a new optimization method to extract the optimal parameters of a single diode and a double diode model, which is based on the Flower Pollination Algorithm (FPA).

TL;DR: A proper optimization algorithm, called Moth-Flame Optimizer (MFO), is proposed as a new optimization algorithm for the parameter extraction process of the three tested models based on data measured at laboratory and other data reported at previous literature.

TL;DR: An improved hybrid classification approach for COVID-19 images is proposed by combining the strengths of CNNs (using a powerful architecture called Inception) to extract features and a swarm-based feature selection algorithm (Marine Predators Algorithm) to select the most relevant features.

TL;DR: In both of the static and the dynamic photovoltaic models, the Chaotic Heterogeneous Comprehensive Learning Particle Swarm Optimizer variants show their efficiency, accuracy and robustness not only over Heter heterogeneity but also over recently published algorithms.