An intensive and comprehensive overview of JAYA algorithm, its versions and applications

RA Zitar, MA Al-Betar, MA Awadallah, IA Doush… - … Methods in Engineering, 2022 - Springer
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 …

Digitalization in response to carbon neutrality: Mechanisms, effects and prospects

J Ma, L Yang, D Wang, Y Li, Z Xie, H Lv… - … and Sustainable Energy …, 2024 - Elsevier
Digitalization has unfolded great opportunities for its ability to promote carbon neutrality.
Nevertheless, it is still in a nascent stage enduring uncertainties due to the lack of clear …

Parameters identification of photovoltaic models using an improved JAYA optimization algorithm

K Yu, JJ Liang, BY Qu, X Chen, H Wang - Energy Conversion and …, 2017 - Elsevier
Parameters identification of photovoltaic (PV) models based on measured current-voltage
characteristic curves is significant for the simulation, evaluation, and control of PV systems …

An improved Jaya optimization algorithm with Lévy flight

G Iacca, VC dos Santos Junior, VV de Melo - Expert Systems with …, 2021 - Elsevier
Recent advances in metaheuristics have shown the advantages of using the Lévy
distribution, which models a kind of random walk (named “Lévy flight”) with occasional “big” …

Enhanced chaotic JAYA algorithm for parameter estimation of photovoltaic cell/modules

M Premkumar, P Jangir, R Sowmya, RM Elavarasan… - ISA transactions, 2021 - Elsevier
Parameters for defining photovoltaic models using measured voltage–current​
characteristics are essential for simulation, control, and evaluation of photovoltaic-based …

Improved meta-heuristics with Q-learning for solving distributed assembly permutation flowshop scheduling problems

H Yu, KZ Gao, ZF Ma, YX Pan - Swarm and Evolutionary Computation, 2023 - Elsevier
This study addresses a distributed assembly permutation flowshop scheduling problem,
which is of great significance in practical manufacturing systems. We aim to sequence …

Enhanced maximum power point techniques for solar photovoltaic system under uniform insolation and partial shading conditions: a review

L Bhukya, NR Kedika, SR Salkuti - Algorithms, 2022 - mdpi.com
In the recent past, the solar photovoltaic (PV) system has emerged as the most promising
source of alternative energy. This solar PV system suffers from an unavoidable phenomenon …

A smart privacy preserving framework for industrial IoT using hybrid meta-heuristic algorithm

M Kumar, P Mukherjee, S Verma, Kavita, J Shafi… - Scientific Reports, 2023 - nature.com
Abstract Industrial Internet of Things (IIoT) seeks more attention in attaining enormous
opportunities in the field of Industry 4.0. But there exist severe challenges related to data …

A comprehensive review of deep neuro-fuzzy system architectures and their optimization methods

N Talpur, SJ Abdulkadir, H Alhussian… - Neural Computing and …, 2022 - Springer
Deep neuro-fuzzy systems (DNFSs) have been successfully applied to real-world problems
using the efficient learning process of deep neural networks (DNNs) and reasoning aptitude …

Jaya: an advanced optimization algorithm and its engineering applications

RV Rao - 2019 - Springer
Keeping in view of the limitations of the traditional optimization techniques, the researchers
have developed a number of advanced optimization algorithms popularly known as …