Genetic programming with multifidelity surrogates for large-scale dynamic air traffic flow management
Published in IEEE Transactions on Evolutionary Computation, 2024
This work combines genetic programming and multifidelity surrogate modeling to reduce optimization cost in dynamic air traffic flow management.
Recommended citation: Tong Guo, Yi Mei, Mengjie Zhang, Ruofei Sun, Yanbo Zhu, and Wenbo Du. (2024). Genetic programming with multifidelity surrogates for large-scale dynamic air traffic flow management. IEEE Transactions on Evolutionary Computation, 29(6), 2671-2685.