S. Sabino, N. Horta, and A. Grilo, "Centralized unmanned aerial vehicle mesh network placement scheme: A multi-objective evolutionary algorithm approach," Sensors, vol. 18, no. 12, p. 4387, 2018.
 C. Ramirez-Atencia and D. Camacho, "Constrained multi-objective optimization for multi-UAV planning," Journal of Ambient Intelligence and Humanized Computing, vol. 10, no. 6, pp. 2467-2484, 2019.
 P. Champasak, N. Panagant, N. Pholdee, S. Bureerat, and A. R. Yildiz, "Self-adaptive many-objective meta-heuristic based on decomposition for many-objective conceptual design of a fixed wing unmanned aerial vehicle," Aerospace Science and Technology, vol. 100, p. 105783, 2020.
 X. Zhen, Z. Enze, and C. Qingwei, "Rotary unmanned aerial vehicles path planning in rough terrain based on multi-objective particle swarm optimization," Journal of Systems Engineering and Electronics, vol. 31, no. 1, pp. 130-141, 2020.
 X. Yu, C. Li, and G. G. Yen, "A knee-guided differential evolution algorithm for unmanned aerial vehicle path planning in disaster management," Applied Soft Computing, vol. 98, p. 106857, 2021.
 B. Li, J. Li, K. Tang, and X. Yao, "Many-objective evolutionary algorithms: A survey," ACM Computing Surveys (CSUR), vol. 48, no. 1, pp. 1-35, 2015.
 R. Cheng, Y. Jin, M. Olhofer, and B. Sendhoff, "A reference vector guided evolutionary algorithm for many-objective optimization," IEEE Transactions on Evolutionary Computation, vol. 20, no. 5, pp. 773-791, 2016.
 Y. Tian, R. Cheng, X. Zhang, and Y. Jin, "PlatEMO: A MATLAB platform for evolutionary multi-objective optimization [educational forum]," IEEE Computational Intelligence Magazine, vol. 12, no. 4, pp. 73-87, 2017.
 S. Huband, P. Hingston, L. Barone, and L. While, "A review of multiobjective test problems and a scalable test problem toolkit," IEEE Transactions on Evolutionary Computation, vol. 10, no. 5, pp. 477-506, 2006.
 Q. Zhang, A. Zhou, and Y. Jin, "RM-MEDA: A regularity model-based multiobjective estimation of distribution algorithm," IEEE Transactions on Evolutionary Computation, vol. 12, no. 1, pp. 41-63, 2008.
 M. Li and X. Yao, "Quality Evaluation of Solution Sets in Multiobjective Optimisation: A Survey."
 D. A. Van Veldhuizen and G. B. Lamont, "Evolutionary computation and convergence to a pareto front," in Late breaking papers at the genetic programming 1998 conference, 1998, pp. 221-228.
 H. Wang, Y. Jin, and X. Yao, "Diversity assessment in many-objective optimization," IEEE transactions on cybernetics, vol. 47, no. 6, pp. 1510-1522, 2017.
 J. R. Schott, "Fault Tolerant Design Using Single and Multicriteria Genetic Algorithm Optimization," AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH1995.
 A. Goli, H. K. Zare, R. Tavakkoli‐Moghaddam, and A. Sadegheih, "Multiobjective fuzzy mathematical model for a financially constrained closed‐loop supply chain with labor employment," Computational Intelligence, 2019.
 A. Zhou, Q. Zhang, Y. Jin, E. Tsang, and T. Okabe, "A model-based evolutionary algorithm for bi-objective optimization," in Evolutionary Computation, 2005. The 2005 IEEE Congress on, 2005, vol. 3, pp. 2568-2575: IEEE.
 K. Deb, Multi-objective optimization using evolutionary algorithms. John Wiley & Sons, 2001.
 P. Gholamnezhad, A. Broumandnia, and V. Seydi, "An inverse model‐based multiobjective estimation of distribution algorithm using Random‐Forest variable importance methods," Computational Intelligence, 2020.
 W. Mkaouer et al., "Many-objective software remodularization using NSGA-III," ACM Transactions on Software Engineering and Methodology (TOSEM), vol. 24, no. 3, pp. 1-45, 2015.
 L. Pan, C. He, Y. Tian, H. Wang, X. Zhang, and Y. Jin, "A classification-based surrogate-assisted evolutionary algorithm for expensive many-objective optimization," IEEE Transactions on Evolutionary Computation, vol. 23, no. 1, pp. 74-88, 2018.