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REFERENCES

1 
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2 
O.~D. Montoya, L.~F. Grisales Noreña, L.~Barrios Alvarado, A.~Londoño Arias, and C.~Álvarez Arroyo, ``Efficient Reduction in the Annual Investment Costs in AC Distribution Networks via Optimal Integration of Solar PV Sources Using the Newton Metaheuristic Algorithm,'' Applied Sciences, vol.~11, no.~23, Article no.~11525, December 2021.DOI
3 
J.~O. Agushaka and A.~E. Ezugwu, ``Evaluation of several initialization methods on arithmetic optimization algorithm performance,'' Journal of Intelligent Systems, vol.~31, no.~1, pp.~70--94, 2021.DOI
4 
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5 
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6 
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7 
Q.~Liu, Y.~Liu, C.~Zhang, Z.~Ruan, W.~Meng, Y.~Cai, and Q.~Ai, ``SEMG-based dynamic muscle fatigue classification using SVM with improved whale optimization algorithm,'' IEEE Internet of Things Journal, vol.~8, no.~23, pp.~16835--16844, 2021.DOI
8 
A.~Sayed, M.~Ebeed, Z.~M.~Ali, A.~B.~Abdel-Rahman, M.~Ahmed, S.~H.~E.~Abdel Aleem, A.~El-Shahat, and M.~Rihan, ``A hybrid optimization algorithm for solving of the unit commitment problem considering uncertainty of the load demand,'' Energies, vol.~14, no.~23, Article no.~8014, November 2021.DOI
9 
M.~H.~Nadimi-Shahraki, S.~Taghian, S.~Mirjalili, L.~Abualigah, M.~Abd Elaziz, and D.~Oliva, ``EWOA-OPF: Effective whale optimization algorithm to solve optimal power flow problem,'' Electronics, vol.~10, no.~23, Article no.~2975, December 2021.DOI
10 
H. S. Kaur, P. Rachana, R. P. de Prado, M. Wozniak, and P. D. Bidare, "Long short-term memory network-based metaheuristic for effective electric energy consumption prediction,'' Applied Sciences, vol. 11, no. 23, 11052, 2021.DOI
11 
J. W. Yoon, S. Lim, and S. K. Park, ``Combinational optimization of the WRF physical parameterization schemes to improve numerical sea breeze prediction using micro-genetic algorithm,'' Applied Sciences, vol. 11, no. 23, 11221, 2021.DOI
12 
L. Wang, L. Gu, and Y. Tang, ``Research on alarm reduction of intrusion detection system based on clustering and whale optimization algorithm,'' Applied Sciences, vol. 11, no. 23, p. 11200, 2021.DOI
13 
C. Hocine and A. Benaissa, ``New binary particle swarm optimization algorithm for surveillance and camera situation assessments,'' Journal of Electrical Engineering & Technology, pp. 1–11, prepublish, 2021.DOI
14 
M. Harrabi, O. B. Driss, and K. Ghedira, ``A modified biogeography-based optimization algorithm with improved mutation operator for job shop scheduling problem with time lags,'' Logic Journal of the IGPL, vol. 29, no. 6, pp. 951–962, 2021.DOI
15 
M. Li, G. Xu, Q. Lai, and J. Chen, ``A chaotic strategy-based quadratic opposition-based learning adaptive variable-speed whale optimization algorithm,'' Mathematics and Computers in Simulation, vol. 194, pp. 71–99, 2022.DOI
16 
F. K. Onay and S. B. Aydemir, ``Chaotic hunger games search optimization algorithm for global optimization and engineering problems,'' Mathematics and Computers in Simulation, vol. 194, pp. 514–536, 2022.DOI
17 
F. A. Hashim, E. H. Houssein, K. Hussain, M. S. Mabrouk, and W. Al-Atabany, ``Honey badger algorithm: New metaheuristic algorithm for solving optimization problems,'' Mathematics and Computers in Simulation, vol. 192, pp. 84–110, 2022.DOI
18 
M. Issa and A. Samn, "Passive vehicle suspension system optimization using Harris hawk optimization algorithm,'' Mathematics and Computers in Simulation, vol. 192, pp. 328–345, 2022.DOI
19 
M. Shirzadeh, A. Amirkhani, N. Tork, and H. Taghavifar, ``Trajectory tracking of a quadrotor using a robust adaptive type-2 fuzzy neural controller optimized by cuckoo algorithm,'' ISA Transactions, vol. 114, pp. 171–190, 2021.DOI
20 
H. Delavari and S. Naderian, ``Design and HIL implementation of a new robust fractional sliding mode control of microgrids,'' IET Generation, Transmission & Distribution, vol. 14, no. 26, pp. 6690–6702, 2020.DOI
21 
M. Jasim and T. Brindha, ``Spinal cord segmentation and injury detection using a crow search-rider optimization algorithm,'' Biomedical Engineering / Biomedizinische Technik, vol. 65, no. 3, pp. 293–304, 2020.DOI
22 
L. Abualigah, A. H. Gandomi, M. Abd Elaziz, A. G. Hussien, A. M. Khasawneh, M. Alshinwan, and E. H. Houssein, ``Nature-inspired optimization algorithms for text document clustering - A comprehensive analysis,'' Algorithms, vol. 13, no. 12, 335, 2020.DOI
23 
F. Chen, F. Chen, F. Liao, L. Zhang, and J. Zhang, ``Dynamic governance of social network based on dynamic optimization algorithm: A new perspective of AI system,'' International Journal of Technology Management, vol. 84, no. 1–2, pp. 25–49, 2020.DOI
24 
A. López Martínez and F. J. Cuevas, ``Multiple view relations using the teaching and learning-based optimization algorithm,'' Computers, vol. 9, no. 4, 101, 2020.DOI
25 
G. B. Rajendran, U. M. Kumarasamy, C. Zarro, P. C. B. Divakara Chari, and S. L. Ullo, ``Land-use and land-cover classification using a human group-based particle swarm optimization algorithm with an LSTM classifier on hybrid data,'' Remote Sensing, vol. 12, no. 24, 4053, 2020.DOI
26 
J. Karlušić, M. Cipek, D. Pavković, Ž. Šitum, J. Benić, and M. Šušnjar, ``Benefit assessment of skidder powertrain hybridization utilizing a novel cascade optimization algorithm,'' Sustainability, vol. 12, no. 24, p. 10396, 2020.DOI
27 
V. M. Karthikeyan, T. Samraj, V. Kandasamy, and N. Chilamkurti, ``Improving the lifetime of an out-patient implanted medical device using a novel flower pollination-based optimization algorithm in WBAN systems,'' Mathematics, vol. 8, no. 11, p. 1989, 2020.DOI
28 
M. Rawa, A. Abusorrah, Y. Al-Turki, S. Mekhilef, M. H. Mostafa, Z. M. Ali, and S. H. E. A. Abdel Aleem, ``Optimal allocation and economic analysis of battery energy storage systems: self-consumption rate and hosting capacity enhancement for microgrids with high renewable penetration,'' Sustainability, vol. 12, no. 23, art. 10144, 2020.DOI
29 
N. Fiorentini, M. Maboudi, P. Leandri, M. Losa, and M. Gerke, ``Surface motion prediction and mapping for road infrastructures management by PS-InSAR measurements and machine learning algorithms,'' Remote Sensing, vol. 12, no. 23, art. 3976, 2020.DOI
30 
X. Chen and X. Li, ``Fault diagnosis of high-power grid wind turbine based on particle swarm optimization BP neural network during COVID-19 epidemic period,'' Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 9027–9035, 2020.DOI