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 …

Parameters identification of photovoltaic (PV) models based on measured current-voltage
characteristic curves is significant for the simulation, evaluation, and control of PV systems …

This literature review presents the extensive literature survey of various heat exchangers
(HEs) for the design optimization using advanced optimization techniques concerning with …

Multi-population algorithms have been widely used for solving the real-world problems.
However, it is not easy to get the number of sub-populations to be used for a given problem …

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

In this study, the parameter free Jaya algorithm (PFJA) is developed for sizing and layout
optimization of truss structures subject to natural frequency constraints. The distinctive …

This paper explores the use of an elitist-Jaya algorithm for economic optimization of shell-
and-tube heat exchanger (STHE) design. Three different optimization problems of STHE are …

Neural network (NN) based equalizers are known to outperform the linear equalizers based
on finite impulse response (FIR) adaptive filter for highly dispersive and non-linear channels …

abstract Submerged arc welding (SAW), owing to its high deposition rate and high welding
quality, is widely used in the fabrication of pressure vessel, marine vessel, pipelines and …

The economic load dispatch (ELD) problem is an optimization problem of minimizing the
total fuel cost of generators while satisfying power balance constraints, operating capacity …