Coevolutionary genetic programming for large-scale dynamic multi-aircraft task allocation
Special Feature on Engineering and Technology for Low-Altitude Economy Infrastructure|Updated:2026-01-12
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Coevolutionary genetic programming for large-scale dynamic multi-aircraft task allocation
大规模动态多飞行器任务分配的协同进化遗传规划
“In the field of multi-aircraft task allocation, this paper introduces a novel coevolutionary genetic programming framework that automatically designs high-performance reactive heuristics for dynamic MATA problems. Expert established the CoGP system, which provides solutions to solve complex and dynamic rescue environment problems.”
Frontiers of Information Technology & Electronic EngineeringVol. 26, Issue 12, Pages: 2440-2454(2025)
Affiliations:
School of Electronic and Information Engineering, State Key Laboratory of CNS/ATM, Beihang University, Beijing 100191, China
Ce YU, Xianbin CAO, Bo ZHANG, et al. Coevolutionary genetic programming for large-scale dynamic multi-aircraft task allocation[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(12): 2440-2454.
DOI:
Ce YU, Xianbin CAO, Bo ZHANG, et al. Coevolutionary genetic programming for large-scale dynamic multi-aircraft task allocation[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(12): 2440-2454. DOI: 10.1631/FITEE.2500540.
Coevolutionary genetic programming for large-scale dynamic multi-aircraft task allocation