Abstract Marine Predators Algorithm (MPA) is a recent nature-inspired optimizer stemmed
from widespread foraging mechanisms based on Lévy and Brownian movements in ocean …

Abstract Marine Predators Algorithm (MPA) is the existing population-based meta-heuristic
algorithms that falls under the category of Nature-Inspired Optimization Algorithm (NIOA) …

Combined heat and power economic dispatch (CHPED) problem is one of the most widely
handled, optimization problem by researchers in modern power systems. CHPED problem is …

The extraction of parameters of solar photovoltaic generating systems is a difficult problem
because of the complex nonlinear variables of current-voltage and power-voltage. In this …

Many engineering and scientific problems in the real-world boil down to optimization
problems, which are difficult to solve by using traditional methods. Meta-heuristics are …

The parameter extraction of PV models is a nonlinear and multi-model optimization problem.
However, it is essential to correctly estimate the parameters of the PV units due to their …

This paper proposes a hybridized version of the Harris Hawks Optimizer (HHO) with
adaptive-hill-climbing optimizer to tackle economic load dispatch (ELD) problems. ELD is an …

Increasing technology developments and economic considerations have also made the use
of renewable energy sources (RESs) and energy storage systems (ESSs) inevitable. To …

The challenge of accurately determining the unknown parameters of Lithium-ion batteries
(LiBs) is primarily attributed to the intricate dynamics of these batteries, their non-linear …

Two renewable energies are included in the combined heat and power (CHP) system to
optimize its energy configuration, and they are wind power generation and photovoltaic …