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 …

Wind farms are enormous and complex control systems. It is challenging and valuable to
control and optimize wind farms. Their applications are widely used in various industries …

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 …

Jaya algorithm (JAYA) is a new metaheuristic algorithm, which has a very simple structure
and only requires population size and terminal condition for optimization. Given the two …

Recent years have witnessed an enormous growth of wind farm capacity worldwide. Due to
the wake effect, the velocity of incoming wind is reduced for the wind turbines in the …

The application of metaheuristic algorithms is one of the most promising approaches for
solving real-world problems. The marine predators algorithm (MPA) is a recently proposed …

Water resource management is a complex engineering problem, due to the stochastic
nature of inflow, various demands and environmental flow downstream. With the increase in …

Salp swarm algorithm (SSA) is a relatively new and straightforward swarm-based meta-
heuristic optimization algorithm, which is inspired by the flocking behavior of salps when …

The layout optimization-based model is a significant issue for increasing the utilization rate
of the wind farm and minimizing its cost per unit of power. For the accurate and reliable wind …

This research work proposes a Hybrid Modified Grey Wolf Optimization–Sine Cosine
Algorithm for the multi-objective optimal scheduling of hybrid power system taking into …