Abstract Crow Search Algorithm (CSA) is a recent swarm intelligence optimization algorithm
inspired by the social intelligent behavior of crows for hiding food. It has been widely used to …

The search for powerful optimizers has led to the development of a multitude of
metaheuristic algorithms inspired from all areas. This work focuses on the animal kingdom …

Abstract In this paper, Remora Optimization Algorithm (ROA) is proposed, which is a new
bionics-based, natural-inspired, and meta-heuristic algorithm. The inspiration for ROA is …

The optimal power flow (OPF) is a vital tool for optimizing the control parameters of a power
system by considering the desired objective functions subject to system constraints …

The strong volatility and randomness of wind power impact the grid and reduce the voltage
quality of the grid when wind power is connected to the grid in large scale. The power sector …

Abstract Crow Search Algorithm (CSA) is a simple yet effective meta-heuristic algorithm that
has been applied to solve many engineering problems. In CSA, fl parameter controls the …

The moth-flame optimization (MFO) algorithm is an effective nature-inspired algorithm based
on the chemical effect of light on moths as an animal with bilateral symmetry. Although it is …

The hyperparameters of a convolutional neural network always have been important,
because the performance of the convolutional neural network depends largely on them. To …

The epidemic increase in online reviews' growth made the sentiment classification a
fascinating domain in academic and industrial research. The reviews assist several …

Segmentation is an essential requirement in medicine when digital images are used in
illness diagnosis, especially, in posterior tasks as analysis and disease identification. An …