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 …

All the population-based optimization algorithms are probabilistic algorithms and require
only a few control parameters including number of candidates, number of iterations, elite …

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 …

This paper addresses a distributed lot-streaming permutation flow shop scheduling problem
that has various applications in real-life manufacturing systems. We aim to optimally assign …

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

Building an accurate mathematical model is vital for the simulation, control, evaluation,
management, and optimization of proton exchange membrane fuel cells (PEMFCs). Usually …

ABSTRACT A Jaya algorithm was recently proposed for solving effectively both constrained
and unconstrained optimization problems. In this article, the Jaya algorithm is further …

This study introduces a novel meta-heuristic optimization algorithm known as quasi-
oppositional modified Jaya (QOMJaya) to solve different multi-objective optimal power flow …

Jaya is a population-based heuristic optimization algorithm proposed for solving constrained
and unconstrained optimization problems. The peculiar distinct feature of Jaya from the …

The intermittent feature of renewable energy sources leads to the mismatch between supply
and load demand on microgrids. In such circumstance, the system experiences large …