[1] A. W. Mohamed, K. M. Sallam, P. Agrawal, A. A. Hadi, and A. K. Mohamed, "Evaluating the performance of meta-heuristic algorithms on CEC 2021 benchmark problems," Neural Computing and Applications, vol. 35, no. 2, pp. 1493-1517, 2023.
[2] C. Blum and A. Roli, "Metaheuristics in combinatorial optimization: Overview and conceptual comparison," ACM Computing Surveys (CSUR), vol. 35, no. 3, pp. 268-308, 2003.
[3] F. Fausto, A. Reyna-Orta, E. Cuevas, Á. G. Andrade, and M. Perez-Cisneros, "From ants to whales: metaheuristics for all tastes," Artificial Intelligence Review, vol. 53, pp. 753-810, 2020.
[4] R. V. Rao, V. J. Savsani, and D. P. Vakharia, "Teaching–learning-based optimization: a novel method for constrained mechanical design optimization problems," Computer-Aided Design, vol. 43, no. 3, pp. 303-315, 2011.
[5] K. S. Lee and Z. W. Geem, "A new structural optimization method based on the harmony search algorithm," Computers & Structures, vol. 82, no. 9-10, pp. 781-798, 2004.
[6] F. Glover, "Tabu search—part I," ORSA Journal on Computing, vol. 1, no. 3, pp. 190-206, 1989.
[7] F. Glover, "Tabu search—part II," ORSA Journal on Computing, vol. 2, no. 1, pp. 4-32, 1990.
[8] L. Abualigah, "Group search optimizer: a nature-inspired meta-heuristic optimization algorithm with its results, variants, and applications," Neural Computing & Applications, vol. 33, no. 7, 2021.
[9] T. S. Ayyarao, N. Ramakrishna, R. M. Elavarasan, N. Polumahanthi, M. Rambabu, G. Saini, B. Khan, and B. Alatas, "War strategy optimization algorithm: a new effective metaheuristic algorithm for global optimization," IEEE Access, vol. 10, pp. 25073-25105, 2022.
[10] J. H. Holland, "Genetic algorithms," Scientific American, vol. 267, no. 1, pp. 66-73, 1992.
[11] G. Rudolph, "Evolution strategies," Evolutionary Computation, vol. 1, pp. 81-88, 2000.
[12] D. Simon, "Biogeography-based optimization," IEEE Transactions on Evolutionary Computation, vol. 12, no. 6, pp. 702-713, 2008.
[13] D. Dasgupta and Z. Michalewicz, "Evolutionary algorithms in engineering applications," Springer Science & Business Media, 2013.
[14] J. Kennedy and R. Eberhart, "Particle swarm optimization," in Proceedings of ICNN'95-International Conference on Neural Networks, IEEE, 1995.
[15] M. Dorigo, M. Birattari, and T. Stutzle, "Ant colony optimization," IEEE Computational Intelligence Magazine, vol. 1, no. 4, pp. 28-39, 2007.
[16] A. Askarzadeh and A. Rezazadeh, "A new heuristic optimization algorithm for modeling of proton exchange membrane fuel cell: bird mating optimizer," International Journal of Energy Research, vol. 37, no. 10, pp. 1196-1204, 2013.
[17] W.-T. Pan, "A new fruit fly optimization algorithm: taking the financial distress model as an example," Knowledge-Based Systems, vol. 26, pp. 69-74, 2012.
[18] J.-S. Pan, L.-G. Zhang, R.-B. Wang, V. Snášel, and S.-C. Chu, "Gannet optimization algorithm: A new metaheuristic algorithm for solving engineering optimization problems," Mathematics and Computers in Simulation, vol. 202, pp. 343-373, 2022.
[19] L. Wang, Q. Cao, Z. Zhang, S. Mirjalili, and W. Zhao, "Artificial rabbits optimization: A new bio-inspired meta-heuristic algorithm for solving engineering optimization problems," Engineering Applications of Artificial Intelligence, vol. 114, pp. 105082, 2022.
[20] H. Zamani, M. H. Nadimi-Shahraki, and A. H. Gandomi, "Starling murmuration optimizer: A novel bio-inspired algorithm for global and engineering optimization," Computer Methods in Applied Mechanics and Engineering, vol. 392, pp. 114616, 2022.
[21] J.-S. Chou and D.-N. Truong, "A novel metaheuristic optimizer inspired by behavior of jellyfish in ocean," Applied Mathematics and Computation, vol. 389, pp. 125535, 2021.
[22] S. Kirkpatrick, C. D. Gelatt Jr, and M. P. Vecchi, "Optimization by simulated annealing," Science, vol. 220, no. 4598, pp. 671-680, 1983.
[23] O. K. Erol and I. Eksin, "A new optimization method: big bang–big crunch," Advances in Engineering Software, vol. 37, no. 2, pp. 106-111, 2006.
[24] R. Formato, "Central force optimization: a new metaheuristic with applications in applied electromagnetics," Progress in Electromagnetics Research, vol. 77, pp. 425-491, 2007.
[25] E. Rashedi, H. Nezamabadi-Pour, and S. Saryazdi, "GSA: a gravitational search algorithm," Information Sciences, vol. 179, no. 13, pp. 2232-2248, 2009.
[26] K. Rajwar, K. Deep, and S. Das, "An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges," Artificial Intelligence Review, vol. 56, no. 11, pp. 13187-13257, 2023.
[27] D. E. Goldberg and J. H. Holland, "Genetic Algorithms and Machine Learning," Machine Learning, vol. 3, no. 2, pp. 95-99, 1988.
[28] S. Kirkpatrick, "Improvement of reliabilities of regulatins using a hierarchical structure in a genetic network" Science, vol. 220, pp. 671-680, 1983.
[29] A. . Fathollahi-Fard, M. Hajiaghaei-Keshteli, and R. Tavakoli-Moghaddam, "Red deer algorithm (RDA): a new nature-inspired meta-heuristic," Soft Computing, vol. 24, pp. 14637-14665, 2020.
[30] Y. Bektaş and H. Karaca, "Red deer algorithm based selective harmonic elimination for renewable energy application with unequal DC sources," Energy Reports, vol. 8, pp. 588-596, 2022.
[31] R. Storn and K. Price, "Differential evolution–a simple and efficient heuristic for global optimization over continuous spaces," Journal of Global Optimization, vol. 11, pp. 341-359, 1997.
[32] D. Karaboga and B. Basturk, "Artificial bee colony (ABC) optimization algorithm for solving constrained optimization problems," in International Fuzzy Systems Association World Congress, Springer, 2007.
[33] S. Mirjalili and A. Lewis, "The whale optimization algorithm," Advances in Engineering Software, vol. 95, pp. 51-67, 2016.
)