The increasing penetration of photovoltaic (PV) systems into modern energy grids has made efficient energy extraction from solar panels a critical concern. Due to the nonlinear characteristics of PV ...

ABSTRACT: The increasing energy demand and initiatives to lower carbon emissions have elevated the significance of renewable energy sources. Photovoltaic (PV) systems are pivotal in converting solar ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

A team of scientists led by researchers from Pakistan’s Abdul Latif University has developed a maximum power point tracking (MPPT) algorithm that uses a grey wolf optimizer (GWO) under realistic ...

Federated Feature Selection using Binary Firefly Algorithm (FBFA) and FRHC with MLP-based federated modeling for high-dimensional IoT and tabular data.

It supports client-wise data partitioning and federated learning with feature selection for high-dimensional tabular datasets like IoT-IDS or spam classification. spambase-fed-bfa.ipynb Federated BFA ...

Nearly a quarter (24%) of buy-side trading desks plan to implement internal AI technologies for trade execution in the next 12 months, with 15% already doing so, according to a new report from Crisil ...