llGuo, Z., Liu, G., & Jiang, F. (2025). Chinese Pangolin Optimizer: A novel bio-inspired metaheuristic for solving
optimization problems. The Journal of Supercomputing, 81(4), 517.
Alkharsan, A., & Ata, O. (2025). HawkFish optimization algorithm: A Gender-Bending approach for solving
complex optimization problems. Electronics, 14(3), 611.
Zhong, C., Li, G., Meng, Z., Li, H., Yildiz, A. R., & Mirjalili, S. (2025). Starfish optimization algorithm (SFOA): a
bio-inspired metaheuristic algorithm for global optimization compared with 100 optimizers. Neural Computing
and Applications, 37(5), 3641-3683.
Ghasemi, M., Deriche, M., Trojovský, P., Mansor, Z., Zare, M., Trojovská, E., ... & kadkhoda Mohammadi, S.
(2025). An efficient bio-inspired algorithm based on humpback whale migration for constrained engineering
optimization. Results in Engineering, 25, 104215.
Xiao, Y., Cui, H., Khurma, R. A., & Castillo, P. A. (2025). Artificial lemming algorithm: a novel bionic meta-
heuristic technique for solving real-world engineering optimization problems. Artificial Intelligence Review,
58(3), 84.
Sánchez Cortez, J. A., Peraza Vázquez, H., & Peña Delgado, A. F. (2025). A Novel Bio-Inspired Optimization
Algorithm Based on Mantis Shrimp Survival Tactics. Mathematics, 13(9), 1500.
Falahah, I. A., Al-Baik, O., Alomari, S., Bektemyssova, G., Gochhait, S., Leonova, I., ... & Dehghani, M. (2024).
Frilled Lizard Optimization: A Novel Bio-Inspired Optimizer for Solving Engineering Applications. Computers,
Materials & Continua, 79(3).
Fu, S., Li, K., Huang, H., Ma, C., Fan, Q., & Zhu, Y. (2024). Red-billed blue magpie optimizer: a novel metaheu-
ristic algorithm for 2D/3D UAV path planning and engineering design problems. Artificial Intelligence Review,
57(6), 134.
Houssein, E. H., Emam, M. M., Alomoush, W., Samee, N. A., Jamjoom, M. M., Zhong, R., & Dhal, K. G. (2024).
An efficient improved parrot optimizer for bladder cancer classification. Computers in Biology and Medicine,
181, 109080.
Dhiman, G., Garg, M., Nagar, A., Kumar, V., & Dehghani, M. (2021). A novel algorithm for global optimization:
Rat Swarm Optimizer. Journal of Ambient Intelligence and Humanized Computing, 12(8), 8457-8482.
Guo, J., Wang, J., Yan, K., Zuo, Q., Li, R., He, Z., ... & Sato, Y. (2024). Wild Gibbon Optimization Algorithm.
Computers, Materials & Continua, 80(1).
Fu, Y., Liu, D., Chen, J., & He, L. (2024). Secretary bird optimization algorithm: a new metaheuristic for solving
global optimization problems. Artificial Intelligence Review, 57(5), 123.
Zheng, B., Chen, Y., Wang, C., Heidari, A. A., Liu, L., & Chen, H. (2024). The moss growth optimization (MGO):
concepts and performance. Journal of Computational Design and Engineering, 11(5), 184-221.
Wang, R. B., Hu, R. B., Geng, F. D., Xu, L., Chu, S. C., Pan, J. S., ... & Mirjalili, S. (2025). The Animated Oat Opti-
mization Algorithm: A nature-inspired metaheuristic for engineering optimization and a case study on Wireless
Sensor Networks. Knowledge-Based Systems, 113589.
Yuan, C., Zhao, D., Heidari, A. A., Liu, L., Chen, Y., Wu, Z., & Chen, H. (2024). Artemisinin optimization based
on malaria therapy: Algorithm and applications to medical image segmentation. Displays, 84, 102740.
Bohat, V. K., Hashim, F. A., Batra, H., & Abd Elaziz, M. (2025). Phototropic growth algorithm: A novel metaheu-
ristic inspired from phototropic growth of plants. Knowledge-Based Systems, 322, 113548.
Abdel-Basset, M., Mohamed, R., & Abouhawwash, M. (2025). Fungal growth optimizer: A novel nature-inspired
metaheuristic algorithm for stochastic optimization. Computer Methods in Applied Mechanics and Engineering,
437, 117825.
Yang, B., Liang, B., Zhou, S., Qian, Y., Zheng, R., Shu, H., ... & Li, H. (2025). A novel bio-inspired caterpillar
fungus (Ophiocordyceps sinensis) optimizer for SOFC parameter identification via GRNN. Renewable Energy,
123995
Pan, Q., Tang, J., & Lao, S. (2022). EDOA: an elastic deformation optimization algorithm. Applied Intelligence,
52(15), 17580-17599.
Tian, Z., & Gai, M. (2024). Football team training algorithm: A novel sport-inspired meta-heuristic optimization
algorithm for global optimization. Expert Systems with Applications, 245, 123088
Lang, Y., & Gao, Y. (2025). Dream Optimization Algorithm (DOA): A novel metaheuristic optimization algo-
rithm inspired by human dreams and its applications to real-world engineering problems. Computer Methods
in Applied Mechanics and Engineering, 436, 117718.
Wang, L., Du, H., Zhang, Z., Hu, G., Mirjalili, S., Khodadadi, N., ... & Zhao, W. (2025). Tianji’s horse racing op-
timization (THRO): a new metaheuristic inspired by ancient wisdom and its engineering optimization appli-
cations. Artificial Intelligence Review, 58(9), 282.
Braik, M., Al-Hiary, H., Alzoubi, H., Hammouri, A., Azmi Al-Betar, M., & Awadallah, M. A. (2025). Tornado
optimizer with Coriolis force: a novel bio-inspired meta-heuristic algorithm for solving engineering problems.
Artificial Intelligence Review, 58(4), 123.
Wang, J., Wang, W. C., Hu, X. X., Qiu, L., & Zang, H. F. (2024). Black-winged kite algorithm: a nature-inspired
meta-heuristic for solving benchmark functions and engineering problems. Artificial Intelligence Review,
57(4), 98
Xue, J., & Shen, B. (2023). Dung beetle optimizer: A new meta-heuristic algorithm for global optimization. The
Journal of Supercomputing, 79(7), 7305-7336.
llGuo, Z., Liu, G., & Jiang, F. (2025). Chinese Pangolin Optimizer: A novel bio-inspired metaheuristic for solving
optimization problems. The Journal of Supercomputing, 81(4), 517.
Alkharsan, A., & Ata, O. (2025). HawkFish optimization algorithm: A Gender-Bending approach for solving
complex optimization problems. Electronics, 14(3), 611.
Zhong, C., Li, G., Meng, Z., Li, H., Yildiz, A. R., & Mirjalili, S. (2025). Starfish optimization algorithm (SFOA): a
bio-inspired metaheuristic algorithm for global optimization compared with 100 optimizers. Neural Computing
and Applications, 37(5), 3641-3683.
Ghasemi, M., Deriche, M., Trojovský, P., Mansor, Z., Zare, M., Trojovská, E., ... & kadkhoda Mohammadi, S.
(2025). An efficient bio-inspired algorithm based on humpback whale migration for constrained engineering
optimization. Results in Engineering, 25, 104215.
Xiao, Y., Cui, H., Khurma, R. A., & Castillo, P. A. (2025). Artificial lemming algorithm: a novel bionic meta-
heuristic technique for solving real-world engineering optimization problems. Artificial Intelligence Review,
58(3), 84.
Sánchez Cortez, J. A., Peraza Vázquez, H., & Peña Delgado, A. F. (2025). A Novel Bio-Inspired Optimization
Algorithm Based on Mantis Shrimp Survival Tactics. Mathematics, 13(9), 1500.
Falahah, I. A., Al-Baik, O., Alomari, S., Bektemyssova, G., Gochhait, S., Leonova, I., ... & Dehghani, M. (2024).
Frilled Lizard Optimization: A Novel Bio-Inspired Optimizer for Solving Engineering Applications. Computers,
Materials & Continua, 79(3).
Fu, S., Li, K., Huang, H., Ma, C., Fan, Q., & Zhu, Y. (2024). Red-billed blue magpie optimizer: a novel metaheu-
ristic algorithm for 2D/3D UAV path planning and engineering design problems. Artificial Intelligence Review,
57(6), 134.
Houssein, E. H., Emam, M. M., Alomoush, W., Samee, N. A., Jamjoom, M. M., Zhong, R., & Dhal, K. G. (2024).
An efficient improved parrot optimizer for bladder cancer classification. Computers in Biology and Medicine,
181, 109080.
Dhiman, G., Garg, M., Nagar, A., Kumar, V., & Dehghani, M. (2021). A novel algorithm for global optimization:
Rat Swarm Optimizer. Journal of Ambient Intelligence and Humanized Computing, 12(8), 8457-8482.
Guo, J., Wang, J., Yan, K., Zuo, Q., Li, R., He, Z., ... & Sato, Y. (2024). Wild Gibbon Optimization Algorithm.
Computers, Materials & Continua, 80(1).
Fu, Y., Liu, D., Chen, J., & He, L. (2024). Secretary bird optimization algorithm: a new metaheuristic for solving
global optimization problems. Artificial Intelligence Review, 57(5), 123.
Zheng, B., Chen, Y., Wang, C., Heidari, A. A., Liu, L., & Chen, H. (2024). The moss growth optimization (MGO):
concepts and performance. Journal of Computational Design and Engineering, 11(5), 184-221.
Wang, R. B., Hu, R. B., Geng, F. D., Xu, L., Chu, S. C., Pan, J. S., ... & Mirjalili, S. (2025). The Animated Oat Opti-
mization Algorithm: A nature-inspired metaheuristic for engineering optimization and a case study on Wireless
Sensor Networks. Knowledge-Based Systems, 113589.
Yuan, C., Zhao, D., Heidari, A. A., Liu, L., Chen, Y., Wu, Z., & Chen, H. (2024). Artemisinin optimization based
on malaria therapy: Algorithm and applications to medical image segmentation. Displays, 84, 102740.
Bohat, V. K., Hashim, F. A., Batra, H., & Abd Elaziz, M. (2025). Phototropic growth algorithm: A novel metaheu-
ristic inspired from phototropic growth of plants. Knowledge-Based Systems, 322, 113548.
Abdel-Basset, M., Mohamed, R., & Abouhawwash, M. (2025). Fungal growth optimizer: A novel nature-inspired
metaheuristic algorithm for stochastic optimization. Computer Methods in Applied Mechanics and Engineering,
437, 117825.
Yang, B., Liang, B., Zhou, S., Qian, Y., Zheng, R., Shu, H., ... & Li, H. (2025). A novel bio-inspired caterpillar
fungus (Ophiocordyceps sinensis) optimizer for SOFC parameter identification via GRNN. Renewable Energy,
123995
Pan, Q., Tang, J., & Lao, S. (2022). EDOA: an elastic deformation optimization algorithm. Applied Intelligence,
52(15), 17580-17599.
Tian, Z., & Gai, M. (2024). Football team training algorithm: A novel sport-inspired meta-heuristic optimization
algorithm for global optimization. Expert Systems with Applications, 245, 123088
Lang, Y., & Gao, Y. (2025). Dream Optimization Algorithm (DOA): A novel metaheuristic optimization algo-
rithm inspired by human dreams and its applications to real-world engineering problems. Computer Methods
in Applied Mechanics and Engineering, 436, 117718.
Wang, L., Du, H., Zhang, Z., Hu, G., Mirjalili, S., Khodadadi, N., ... & Zhao, W. (2025). Tianji’s horse racing op-
timization (THRO): a new metaheuristic inspired by ancient wisdom and its engineering optimization appli-
cations. Artificial Intelligence Review, 58(9), 282.
Braik, M., Al-Hiary, H., Alzoubi, H., Hammouri, A., Azmi Al-Betar, M., & Awadallah, M. A. (2025). Tornado
optimizer with Coriolis force: a novel bio-inspired meta-heuristic algorithm for solving engineering problems.
Artificial Intelligence Review, 58(4), 123.
Wang, J., Wang, W. C., Hu, X. X., Qiu, L., & Zang, H. F. (2024). Black-winged kite algorithm: a nature-inspired
meta-heuristic for solving benchmark functions and engineering problems. Artificial Intelligence Review,
57(4), 98
Xue, J., & Shen, B. (2023). Dung beetle optimizer: A new meta-heuristic algorithm for global optimization. The
Journal of Supercomputing, 79(7), 7305-7336.