Breast cancer is a significant public health concern worldwide, and early detection is crucial
for its treatment. Although breast cancer has been extensively studied, there is still room for …

This work discusses the production of a novel hybrid algorithm by combining the gorilla
troops optimizer (GTO) with the gradient-based optimizers (GBO) approach. The novel …

The main objective of this study is to develop a new method for solving the techno-economic
optimization problem of an isolated microgrid powered by renewable energy sources like …

This study performed a comparative analysis of five new meta-heuristic algorithms
specifically adopted based on two general classifications; namely, nature-inspired, which …

The article presents the parameter tuning of the Power System Stabilizer (PSS) using the
hybrid method. The hybrid methods proposed in this article are Praire Dog Optimization …

Fuel cells (FCs) play a crucial role in converting stored hydrogen energy into electricity.
However, accurately modeling and optimizing their performance is challenging due to the …

This paper emphasizes the significance of ensuring adequate damping of
electromechanical oscillations in power systems to ensure stable operation. Power System …

Low-frequency sound wave reduction is hardly feasible for traditional sound absorbers such
as porous media. In contrast, locally resonant acoustic metamaterials act as spatial …

Various real-world problems are essentially multiobjective optimization problems (MOPs),
which involve several conflicting objectives. We propose a Quantum-inspired multiobjective …

Through the use of smart sensors to monitor and regulate plant conditions, smart home
gardening management systems can maximize resource utilisation and minimize human …