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 this study, a self-learning discrete Jaya algorithm (SD-Jaya) is proposed to address the
energy-efficient distributed no-idle flow-shop scheduling problem (FSP) in a heterogeneous …

Parameters for defining photovoltaic models using measured voltage–current​
characteristics are essential for simulation, control, and evaluation of photovoltaic-based …

Hazardous characteristics of the on-road vehicle-based emission rising an alarming
situation for the urban communities. In this line, emission-free electric vehicles ensure a …

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

Optimization algorithms have made considerable advancements in solving complex
problems with the ability to be applied to innumerable real-world problems. Nevertheless …

The Guadalquivir bridge is a large-scale twin steel truss bridge located in Spain that opened
to traffic in 1929. Since the bridge has come into operation for a long time, structural health …

This work proposes multi-objective Rao algorithms. The basic Rao algorithms are modified
for solving multi-objective optimization problems. The proposed algorithms have no …

This work proposes a metaphor-less and algorithm-specific parameter-less algorithm,
named as self-adaptive population Rao algorithm, for solving the single-, multi-, and many …