An intensive and comprehensive overview of JAYA algorithm, its versions and applications
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 …
intensively overviewed. The JAYA algorithm combines the survival of the fittest principle from …
A performance-guided JAYA algorithm for parameters identification of photovoltaic cell and module
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 …
photovoltaic (PV) systems, accurate and reliable model parameter identification of PV cell …
Short-term wind speed forecasting based on the Jaya-SVM model
Wind energy is an emerging environmentally friendly energy source. However, due to the
uncertainty and volatility of wind speed, wind energy cannot be effectively exploited, and it is …
uncertainty and volatility of wind speed, wind energy cannot be effectively exploited, and it is …
A novel interval decomposition ensemble model for interval carbon price forecasting
F Gao, X Shao - Energy, 2022 - Elsevier
Accurate carbon price forecasting is of great significance for policy-makers and market
participants. However, previous studies only focus on point-valued forecasting and ignore …
participants. However, previous studies only focus on point-valued forecasting and ignore …
A logistic binary Jaya optimization-based channel selection scheme for motor-imagery classification in brain-computer interface
A Tiwari - Expert Systems with Applications, 2023 - Elsevier
BCI systems use motor imagery to allow users to control external devices through their brain
activity. They extract neural signals from the brain using a large number of EEG channels …
activity. They extract neural signals from the brain using a large number of EEG channels …
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 …
have developed a number of advanced optimization algorithms popularly known as …
DJAYA: A discrete Jaya algorithm for solving traveling salesman problem
Jaya algorithm is a newly proposed stochastic population-based metaheuristic optimization
algorithm to solve constrained and unconstrained continuous optimization problems. The …
algorithm to solve constrained and unconstrained continuous optimization problems. The …
Opposition-based JAYA with population reduction for parameter estimation of photovoltaic solar cells and modules
X Yang, W Gong - Applied Soft Computing, 2021 - Elsevier
To efficiently increase the conversion of solar energy into electricity, it is vitally important to
find the appropriate equivalent circuit parameters to execute the modeling, evaluation, and …
find the appropriate equivalent circuit parameters to execute the modeling, evaluation, and …
A review of parallel heterogeneous computing algorithms in power systems
The power system expansion and the integration of technologies, such as renewable
generation, distributed generation, high voltage direct current, and energy storage, have …
generation, distributed generation, high voltage direct current, and energy storage, have …
JayaX: Jaya algorithm with xor operator for binary optimization
Jaya is a population-based heuristic optimization algorithm proposed for solving constrained
and unconstrained optimization problems. The peculiar distinct feature of Jaya from the …
and unconstrained optimization problems. The peculiar distinct feature of Jaya from the …