Nature-inspired optimization algorithms and their significance in multi-thresholding image segmentation: an inclusive review

R Rai, A Das, KG Dhal - Evolving Systems, 2022 - Springer
Multilevel Thresholding (MLT) is considered as a significant and imperative research field in
image segmentation that can efficiently resolve difficulties aroused while analyzing the …

Improving the prediction of heating energy consumed at residential buildings using a combination of support vector regression and meta-heuristic algorithms

H Khajavi, A Rastgoo - Energy, 2023 - Elsevier
The growing population has caused to increase in energy demand worldwide. Since
significant energy consumption in the residential building sector is assigned to the heating …

Gorilla optimization algorithm combining sine cosine and cauchy variations and its engineering applications

S Wang, L Cao, Y Chen, C Chen, Y Yue, W Zhu - Scientific Reports, 2024 - nature.com
To address the issues of lacking ability, loss of population diversity, and tendency to fall into
the local extreme value in the later stage of optimization searching, resulting in slow …

[PDF][PDF] Optimization of PID parameters for controlling DC motor based on the aquila optimizer algorithm

W Aribowo, S Supari… - International Journal of …, 2022 - pdfs.semanticscholar.org
This study presents the application of the aquila optimizer (AO) algorithm to determine the
parameters of the proportional integral derivative (PID) controller to control the speed of a dc …

Archimedes optimizer: theory, analysis, improvements, and applications

KG Dhal, S Ray, R Rai, A Das - Archives of Computational Methods in …, 2023 - Springer
The intricacy of the real-world numerical optimization tribulations has full-fledged and
diversely amplified necessitating proficient yet ingenious optimization algorithms. In the …

Optimization of subsurface imaging antenna capacitance through geometry modeling using archimedes, lichtenberg and henry gas solubility metaheuristics

AG Janairo, JJ Baun, R Concepcion… - … IOT, Electronics and …, 2022 - ieeexplore.ieee.org
Capacitive resistivity subsurface imaging of roads operating at very low frequency is
susceptible to antenna characteristic capacitance dynamics that may cause unwanted signal …

A novel improved sea-horse optimizer for tuning parameter power system stabilizer

W Aribowo - Journal of Robotics and Control (JRC), 2023 - journal.umy.ac.id
Power system stabilizer (PSS) is applied to dampen system oscillations so that the
frequency does not deviate beyond tolerance. PSS parameter tuning is increasingly difficult …

Integrative soft computing approaches for optimizing thermal energy performance in residential buildings

Y Peng, Y Chen - Plos one, 2023 - journals.plos.org
As is known, early prediction of thermal load in buildings can give valuable insight to
engineers and energy experts in order to optimize the building design. Although different …

[HTML][HTML] Identification of continuous-time Hammerstein model using improved Archimedes optimization algorithm

MS Islam, MA Ahmad, CB Wen - International Journal of Cognitive …, 2024 - Elsevier
Although various optimization algorithms have been widely employed in multiple
applications, the traditional Archimedes optimization algorithm (AOA) has presented …

[PDF][PDF] Optimizing feed forward backpropagation neural network based on teaching-learning-based optimization algorithm for long-term electricity forecasting

W Aribowo - Int. J. Intell. Eng. Syst, 2022 - researchgate.net
The improvement of the economy country along with developments in each sector will be
followed by technological progress. This has led to an increase in electricity demand in …