Introducing a novel meta-heuristic optimization algorithm, the Flood Algorithm (FLA) draws
inspiration from the intricate movement and flow patterns of water masses during flooding …

In recent algorithmic family simulates different biological processes observed in Nature in
order to efficiently address complex optimization problems. In the last years the number of …

This study presents the K-means clustering-based grey wolf optimizer, a new algorithm
intended to improve the optimization capabilities of the conventional grey wolf optimizer in …

Accurately estimating the unknown parameters of the photovoltaic (PV) models based on the
measured voltage-current data is a challenging optimization problem due to its high …

The advancement of Photovoltaic (PV) systems hinges on the precise optimization of their
parameters. Among the numerous optimization techniques, the effectiveness of each often …

Develo** an accurate model for precise parameter estimation is crucial for the design of
polymer electrolyte membrane fuel cells (PEMFC). While many studies can meet the …

In this paper, a new method is designed to effectively determine the parameters of proton
exchange membrane fuel cells (PEMFCs), ie, ξ 1, ξ 2, ξ 3, ξ 4, RC, λ, and b. The fuel cells …

This study introduces a new approach for parameter optimization in the four-diode
photovoltaic (PV) model, employing a Dynamic Fitness-Guided Particle Swarm Optimization …

Satellite images often have very narrow brightness value ranges, so it is necessary to
enhance the contrast and brightness, maintain the quality of visual information, and preserve …

In this paper, a new metaheuristic algorithm called Sculptor Optimization Algorithm (SOA) is
introduced and designed, which imitates the sculpting process. The main idea in SOA …