Electric power system applications are intricate optimization problems. Most literature
reviews focus on studying an electrical paradigm through different optimization techniques …

An intricate issue suffered by photovoltaic systems is partial shading condition (PSC) which
is an unavoidable and complex problem. It degrades the maximum power generation and …

Abstract Artificial Neural Network (ANN) is an effective machine learning technique for
addressing regression tasks. Nonetheless, the performance of ANN is highly dependent on …

To further improve the power generation efficiency of traditional photovoltaic (PV) systems,
this paper designs a theoretical model of a hybrid power generation system that consists of …

Recently, renewable energy resources such as wind turbines (WTs) and photovoltaic (PV)
systems are wildly installed in electrical systems. However, the main challenge that related …

The scientific field of optimization has witnessed an increasing trend in the development of
metaheuristic algorithms within the current decade. The vast majority of the proposed …

Improving the photovoltaic (PV) array performance is a challenge especially during partial
shade operation (PS), in such case the array power-voltage characteristic has multi-local …

Multiple myeloma (MM) is a malignant plasma cell disease that is the second most prevalent
hematological malignancy in high-income nations and accounts for around 1.8% of all …

Population-based metaheuristic algorithms have gained significant attention in research
community due to its effectiveness in solving complex optimization problems in diverse …

Minimum cross-entropy is widely used to find the best threshold values for image
segmentation; this technique is known as MCET. However, when the number of thresholds …