Improved slime mould algorithm hybridizing chaotic maps and differential evolution strategy for global optimization

H Chen, X Li, S Li, Y Zhao, J Dong - IEEE Access, 2022 - ieeexplore.ieee.org
Slime Mould Algorithm (SMA) is a new meta-heuristics algorithm that is inspired by the
behaviors of slime mould from nature. Due to its effective performance, SMA has shown its …

Avoiding overfiting: new algorithms to improve generalisation in convolutional neural networks

CFG Santos - 2022 - repositorio.ufscar.br
Deep Learning has achieved state-of-the-art results in several domains, such as image
processing, natural language processing, and audio processing. To accomplish such …

A Review on Techniques for Power System Stability: The Role of Governor Setting Optimization and Algorithmic Approaches

SP Somathilaka, NT Senarathna… - … on Electrical, Control …, 2024 - ieeexplore.ieee.org
When confronted with urgent issues, people often rush to implement solutions without fully
assessing their long-term implications. This tendency can be seen in the current shift …