A review and comparative study of firefly algorithm and its modified versions

WA Khan, NN Hamadneh, SL Tilahun… - Optimization …, 2016 - books.google.com
Firefly algorithm is one of the well-known swarm-based algorithms which gained popularity
within a short time and has different applications. It is easy to understand and implement …

Computational intelligence-based optimization methods for power quality and dynamic response enhancement of ac microgrids

TA Jumani, MW Mustafa, NN Hamadneh, SH Atawneh… - Energies, 2020 - mdpi.com
The penetration of distributed generators (DGs) in the existing power system has brought
some real challenges regarding the power quality and dynamic response of the power …

Transformer incipient fault prediction using combined artificial neural network and various particle swarm optimisation techniques

HA Illias, XR Chai, AH Abu Bakar, H Mokhlis - PloS one, 2015 - journals.plos.org
It is important to predict the incipient fault in transformer oil accurately so that the
maintenance of transformer oil can be performed correctly, reducing the cost of maintenance …

Design optimization of a high-temperature fin-and-tube heat exchanger manifold–a case study

P Ocłoń, S Łopata, T Stelmach, M Li, JF Zhang, H Mzad… - Energy, 2021 - Elsevier
High-temperature fin-and-tube heat exchangers are widely used in many industries such as
petrochemical industry, automotive, energy, and many others. The major advantage of those …

Thermal performance index based characterization and experimental validation for heat dissipation by unconventional arrayed micro pin-fins

H Kishore, CK Nirala, A Agrawal - Thermal Science and Engineering …, 2023 - Elsevier
Cross-section profiles of micro pin-fins (MPFs) have significantly affected the overall heat
transfer performance in natural and forced convection through passive and active cooling …

Examining the forecasting movement of palm oil price using RBFNN-2SATRA metaheuristic algorithms for logic mining

SAS Alzaeemi, S Sathasivam - IEEE Access, 2021 - ieeexplore.ieee.org
RBFNN with different algorithms and the logic mining method for forecasting constitute the
most significant tools and techniques, which are used to demonstrate the economic growth …

Parametric shape optimization of pin-fin arrays using a surrogate model-based Bayesian method

S Ghosh, S Mondal, E Fernandez, JS Kapat… - … of Thermophysics and …, 2021 - arc.aiaa.org
Pin-fin arrays are generally present in trailing-edge regions of gas-turbine blades for internal
cooling purposes. An elevated temperature is important to enhance the thermodynamic …

Optimizing thermal performance of pin-fin arrays using Bayesian methods for turbine cooling

EM Mihalko, A Basak - International Journal of Heat and Mass Transfer, 2024 - Elsevier
Pin-fin arrays are crucial in the cooling of aerospace components. Specifically, pin-fins find
extensive usage in the trailing edge of turbine blades, primarily due to the harsh operating …

Application of radial basis function neural network coupling particle swarm optimization algorithm to classification of Saudi Arabia stock returns

KA Rashedi, MT Ismail, NN Hamadneh… - Journal of …, 2021 - Wiley Online Library
Artificial intelligence (AI) based business process optimization has a significant impact on a
country's economic development. We argue that the use of artificial neural networks in …

Designing a microchannel heat sink with colloidal coolants through the entropy generation minimisation criterion and global optimisation algorithms

JM Cruz-Duarte, A Garcia-Perez… - Applied Thermal …, 2016 - Elsevier
This article presents an alternative approach for the design of a heat sink as a solution of the
thermal management problem in microelectronic components. The design was carried out …