Despite the simplicity of the whale optimization algorithm (WOA) and its success in solving
some optimization problems, it faces many issues. Thus, WOA has attracted scholars' …

The field of nature inspired algorithm (NIA) is a vital area of research that consistently aids in
solving optimization problems. One of the metaheuristic algorithm classifications that has …

This paper introduces a new bio-inspired metaheuristic algorithm called Walrus Optimization
Algorithm (WaOA), which mimics walrus behaviors in nature. The fundamental inspirations …

The Dung beetle optimization algorithm is a kind of group intelligence optimization algorithm
proposed by Jiankai Xue in 2022, which has the characteristics of strong optimization …

Meta-heuristic search algorithms (MHSs) are methods that take their inspiration from nature.
However, the fitness value information used in the design of the update mechanism in MHSs …

The parameter identification problem of photovoltaic (PV) models is classified as a complex
nonlinear optimization problem that cannot be accurately solved by traditional techniques …

The effective meta-heuristic technique known as the grey wolf optimizer (GWO) has shown
its proficiency. However, due to its reliance on the alpha wolf for guiding the position …

This study addresses the challenges in accurately estimating photovoltaic (PV) parameters
for solar energy applications by enhancing parameter extraction processes to improve the …

Honey badger algorithm (HBA) is a recent swarm-based metaheuristic algorithm that excels
in simplicity and high exploitation capability. However, it suffers from some limitations …

The increase in energy consumption, environmental pollution issues, and low-carbon
agenda has grown the research area of demand side management (DSM). DSM programs …