Page 186 - IJOCTA-15-1

Y. Olmez et al. / IJOCTA, Vol.15, No.1, pp.166-182 (2025)
strategies and methods offer effective solutions. [5] Deng, L., & Liu, S. (2023). Snow ablation opti-
The limitation of this study is that the number mizer: A novel metaheuristic technique for nu-
of iterations and runs of the algorithms could not merical optimization and engineering design. Ex-
be taken very high due to the long computational pert Systems with Applications, 225, 120069.
time. In this respect, the number of iterations is [6] Calgan, H. (2023). Optimal C-type filter design
for wireless power transfer system by using sup-
taken as 500 at most and the number of runs could
port vector machines. An International Journal
be increased up to 5. In the context of this disad-
of Optimization and Control: Theories & Appli-
vantage, it is understood that one of the most dis-
cations (IJOCTA), 13(2), 151-160.
tinctive features of metaheuristic algorithms to be
[7] Perin, D., Karaoglan, A. D., & Yilmaz, K. (2024).
used in this field should be the running time. In Rotor design optimization of a 4000 rpm perma-
future works, the performances of the considered nent magnet synchronous generator using moth
algorithms can be improved with some modifica- flame optimization algorithm. An International
tions or hybrid methods can be developed. In ad- Journal of Optimization and Control: Theories
dition, these methods can be effectively applied to & Applications (IJOCTA), 14(2), 123-133.
determining different control parameters on vari- [8] Riaz, M., Bashir, M., & Younas, I. (2022). Meta-
ous systems. heuristics based COVID-19 detection using med-
ical images: A review. Computers in Biology and
Acknowledgments Medicine, 144, 105344.
[9] Olmez, Y., Koca, G. O., Tanyildizi, E., & Sengur,
None. A. (2023). Multilevel image thresholding based
on Renyi’s entropy and golden sinus algorithm
Funding II. Neural Computing and Applications, 35(24),
17837-17850.
None.
[10] Ozmen Koca, O. K., Dogan, S., & Yilmaz, H.
(2018). A multi-objective route planning model
Conflict of interest
based on genetic algorithm for cuboid surfaces.
The authors declare no conflict of interest. Automatika: ˇcasopis za automatiku, mjerenje,
elektroniku, raˇcunarstvo i komunikacije, 59(1),
Author contributions 120-130.
[11] Olmez, Y., Koca, G. O., Sengur, A., & Acharya,
Conceptualization: Yagmur Olmez, Gonca Oz- U. R. (2023). PS-VTS: particle swarm with visit
men Koca table strategy for automated emotion recogni-
Formal analysis: Yagmur Olmez, Gonca Ozmen tion with EEG signals. Health Information Sci-
Koca ence and Systems, 11(1), 22.
[12] Yigit, T., & Celik, H. (2020). Speed controlling
Methodology: All authors
of the PEM fuel cell powered BLDC motor with
Writing – original draft: All authors
FOPI optimized by MSA. International Journal
Writing – review & editing: All authors
of Hydrogen Energy, 45(60), 35097-35107.
[13] Arya, Y. (2018). AGC of two-area electric power
systems using optimized fuzzy PID with filter plus
References
double integral controller. Journal of the Franklin
[1] Nssibi, M., Manita, G., & Korbaa, O. (2023). Institute, 355(11), 4583-4617.
Advances in nature-inspired metaheuristic opti- [14] Mohanty, B., Panda, S., & Hota, P. K. (2014).
mization for feature selection problem: A com- Controller parameters tuning of differential evo-
prehensive survey. Computer Science Review, 49, lution algorithm and its application to load fre-
100559. quency control of multi-source power system. In-
[2] Meenachi, L., & Ramakrishnan, S. (2021). Meta- ternational journal of electrical power & energy
heuristic search based feature selection methods systems, 54, 77-85.
for classification of cancer. Pattern Recognition, [15] Sathya, M. R., & Ansari, M. M. T. (2015). Load
119, 108079. frequency control using Bat inspired algorithm
[3] Yuan, X., Hu, G., Zhong, J., & Wei, G. (2023). based dual mode gain scheduling of PI controllers
HBWO-JS: jellyfish search boosted hybrid beluga for interconnected power system. International
whale optimization algorithm for engineering ap- Journal of Electrical Power & Energy Systems,
plications. Journal of Computational Design and 64, 365-374.
Engineering, 10(4), 1615-1656. [16] Sahu, R. K., Panda, S., & Padhan, S. (2015).
[4] Han, M., Du, Z., Zhu, H., Li, Y., Yuan, Q., & Zhu, A hybrid firefly algorithm and pattern search
H. (2022). Golden-Sine dynamic marine predator technique for automatic generation control of
algorithm for addressing engineering design opti- multi area power systems. International Journal
mization. Expert Systems with Applications, 210, of Electrical Power & Energy Systems, 64, 9-23.
118460.
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