Slime Mould Algorithm (SMA) has recently received much attention from researchers
because of its simple structure, excellent optimisation capabilities, and acceptable …

This paper proposes a novel swarm intelligence bioinspired optimization algorithm, called
the Dandelion Optimizer (DO), for solving continuous optimization problems. DO simulates …

Multilevel thresholding is one of the most commonly used methods in image segmentation.
However, the exhaustive search methods are costly in determining optimal thresholds and …

The intricacy of the real-world numerical optimization tribulations has full-fledged and
diversely amplified necessitating proficient yet ingenious optimization algorithms. In the …

This study presents the parameter extraction of photovoltaic (PV) cells and modules using a
new hybrid metaheuristic algorithm developed based on the white shark optimizer (WSO) …

The Henry Gas Solubility Optimization (HGSO) is a physics-based metaheuristic inspired by
Henry's law, which describes the solubility of the gas in a liquid under specific pressure …

This study presents the extraction of unknown parameters of various photovoltaic (PV) cells
and modules by using the weighted mean of vectors (INFO) algorithm. The parameter …

The present study merges the teaching and learning algorithm (TLBO) and turbulent flow of
water optimization (TFWO) to propose the hybrid TLTFWO. The main purpose is to provide …

Aiming at the problems of low optimization accuracy and slow convergence speed of Satin
Bowerbird Optimizer (SBO), an improved Satin Bowerbird Optimizer (ISBO) based on …

In recent years, wind-assisted ship propulsion (WASP) has become an important technology
that can reduce the energy consumption of shipping. With different wind directions, a …