Ahmad Mozaffari, Shojaeddin Chenouri, Yechen Qin, Amir Khajepour, “Learning-based vehicle suspension controller design: A review of the state-of-the-art and future research potentials”, eTransportation, 2, 2019, 100024
Guocheng Li, Pei Liu, Chengyi Le, Benda Zhou, “A Novel Hybrid Meta-Heuristic Algorithm Based on the Cross-Entropy Method and Firefly Algorithm for Global Optimization”, Entropy, 21, № 5, 2019, 494
Reshu Chaudhary, Hema Banati, “Study of population partitioning techniques on efficiency of swarm algorithms”, Swarm and Evolutionary Computation, 55, 2020, 100672
Hai-Bang Ly, Tien-Thinh Le, Huong-Lan Thi Vu, Van Quan Tran, Lu Minh Le, Binh Thai Pham, “Computational Hybrid Machine Learning Based Prediction of Shear Capacity for Steel Fiber Reinforced Concrete Beams”, Sustainability, 12, № 7, 2020, 2709
Jialing Yan, Gang Hu, Jiulong Zhang, “Multi-Strategy Boosted Fick’s Law Algorithm for Engineering Optimization Problems and Parameter Estimation”, Biomimetics, 9, № 4, 2024, 205
Luis M. Camarinha-Matos, Hamideh Afsarmanesh, “Roots of Collaboration: Nature-Inspired Solutions for Collaborative Networks”, IEEE Access, 6, 2018, 30829
Marie Hubalovska, Stepan Major, “A New Human-Based Metaheuristic Algorithm for Solving Optimization Problems Based on Technical and Vocational Education and Training”, Biomimetics, 8, № 6, 2023, 508
Linas Stripinis, Remigijus Paulavičius, “Experimental Study of Excessive Local Refinement Reduction Techniques for Global Optimization DIRECT-Type Algorithms”, Mathematics, 10, № 20, 2022, 3760
Ammar H. Elsheikh, Swellam W. Sharshir, A. S. Ismail, Ravishankar Sathyamurthy, Talaat Abdelhamid, Elbager M. A. Edreis, A. E. Kabeel, Zhang Haiou, “An artificial neural network based approach for prediction the thermal conductivity of nanofluids”, SN Appl. Sci., 2, № 2, 2020, 235
Dmitri E. Kvasov, Yaroslav D. Sergeyev, Encyclopedia of Optimization, 2023, 1