Abstract The recently introduced Artificial Hummingbird Algorithm (AHA) exhibits competitive
performance in developing optimization concerns. However, AHA has an imbalance …

In the last few decades, metaheuristic algorithms that use the laws of nature have been used
dramatically in numerous and complex optimization problems. The artificial hummingbird …

Abstract Parameters identification of Electric Power Transformer (EPT) models is significant
for the steady and consistent operation of the power systems. The nonlinear and multimodal …

This research addresses, from a perspective of metaheuristic optimization, the problem
regarding parametric estimation in single-phase transformers while considering voltage and …

This review addresses the modeling approaches for heat transfer processes in oil-immersed
transformer. Electromagnetic, thermal, and hydrodynamic thermal fields are identified as the …

The performance of transformers directly determines the reliability, stability, and economy of
the power system. The methodologies of minimizing the transformer manufacturing cost …

The artificial hummingbird algorithm (AHA) is a recently introduced versatile metaheuristic
optimizer that simulates flight patterns and intelligent foraging skills of hummingbirds. It has …

Researchers tackled the challenge of finding the right parameters for a transformer-
equivalent circuit. They achieved this by minimizing the difference between actual …

To solve the problems of lack of diversity and low quality of solution set in the solving
process of traditional transformer optimization algorithm, a multi-objective optimization …

Financial crisis prediction (FCP) greatly contributed to the country's economic phenomenon.
Precise estimation of the number and probability of failure indicated the strength and …