[1] 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.
[2] 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.
[3] 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.
[4] 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.
[5] 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.
[6] 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.
[7] 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.
[8] 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.
[9] 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.
[10] 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.
[11] M. Li and X. Yao, "Quality Evaluation of Solution Sets in Multiobjective Optimisation: A Survey."
[12] 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.
[13] 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.
[14] J. R. Schott, "Fault Tolerant Design Using Single and Multicriteria Genetic Algorithm Optimization," AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH1995.
[15] 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.
[16] 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.
[17] K. Deb, Multi-objective optimization using evolutionary algorithms. John Wiley & Sons, 2001.
[18] 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.
[19] 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.
[20] 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.
)
