In this review paper, JAYA algorithm, which is a recent population-based algorithm is
intensively overviewed. The JAYA algorithm combines the survival of the fittest principle from …

Abstract The Jaya Algorithm is a relatively new population-based optimization, which has
become a progressively valuable tool in swarm intelligence. The Jaya algorithm …

In order to carry out the evaluation, control and maximum power point tracking on
photovoltaic (PV) systems, accurate and reliable model parameter identification of PV cell …

Abstract Farmland Fertility Algorithm (FFA) is a recent nature-inspired metaheuristic
algorithm for solving optimization problems. Nevertheless, FFA has some drawbacks: slow …

The integration of several renewable energy sources (RESs), such as photovoltaic
generation (PVG) and wind turbine generation (WTG), introduces a significant amount of …

The optimal power flow (OPF) problem featured as a non-linear, non-convex, large-scale
and constrained, still remains a popular and challenging work in power systems …

An enhanced multi-objective Quasi-Reflected Jellyfish Search Optimizer (MOQRJFS) is
presented in this article for solving multi-dimensional Optimal Power Flow (MDOPF) issue …

This work proposes the implementation of a recently invented meta-heuristic optimization
solver namely, an adaptive multiple teams perturbation-guiding Jaya (AMTPG-Jaya) …

Keeping in view of the limitations of the traditional optimization techniques, the researchers
have developed a number of advanced optimization algorithms popularly known as …

An Optimal power flow (OPF) is non‐linear and constrained multi‐objective problem. OPF
problems are expensive and evolutionary algorithms (EAs) are computationally complex to …