Posts by Collection

Optimization and Scheduling of Urban Logistics UAVs

Designed mathematical models and algorithms for logistics hub node selection and multi-aircraft safe interval maintenance in urban low-altitude logitstics systems. Developed a multi-objective mixed-integer programming model balancing UAV safety and logistics network costs, coupled with a memetic optimization algorithm using adaptive operator selection. The model and algorithm were integrated into the General Aviation Supervision System, deployed in pilot regions like Sichuan and Zhejiang, safeguarding 500,000 flights. They also supported operations and product development for leading enterprises, such as Hangzhou Xunyi Technology, delivering significant social and economic benefits

Flight Delay Prediction for Multiple Major Hub Airport

This project revolves around delay prediction at major hub airports, integrating spatial correlations among multipleairports, including air traffic flow, geographic distances, and the temporal characteristics of each airport.It predicts the potential future delay durations of each airport, providing critical situational information forair traffic management systems. In this project, a Granger causality self-correcting spatial correlation extractionmodule was designed, utilizing graph convolution for spatial correlation modeling. Subsequently, spatialcorrelations and temporal features are integrated in a GRU model to predict future delays. The project wasintegrated into the East China Air Traffic Management Bureau’s system. During the landing of TyphoonChanthu in Shanghai in 2021, the system accurately predicted delays at eight major hub airports includingShanghai, Zhengzhou, and Chengdu, achieving a prediction accuracy rate of 89%.

Optimization and Scheduling of Large-Scale ATFM

This project focuses on optimizing flight traffic flow within Chinese major airport network by adjusting flightdeparture times, flight paths, and airspeeds, while minimizing flight conflict risks and delays. To addressthe challenges of high-dimensional optimization variables and the convergence speed required for real-timeoperations in civil aviation, a large-scale cooperative co-evolutionary optimization algorithm was proposed,utilizing flight spatiotemporal variable grouping. This approach reduced flight plan optimization time fromhours to within 10 minutes. The model and algorithm have been applied and validated in the flight flowmanagement systems of the East China and Northeast China Air Traffic Management Bureaus, significantlyreducing the frequency of slot adjustments and improving the operational efficiency of the air traffic system.

Cooperative pursuit of unauthorized UAVs in urban airspace via multi-agent reinforcement learning

Published in Transportation Research Part C: Emerging Technologies, 2021

A reinforcement learning approach for cooperative pursuit of unauthorized UAVs in urban airspace.

Recommended citation: Tong Guo, Wenbo Du, Jun Chen, Biyue Li, Guangxiang Zhu, and Xianbin Cao. (2021). Cooperative pursuit of unauthorized UAVs in urban airspace via multi-agent reinforcement learning. Transportation Research Part C: Emerging Technologies, 128, 103122.

A knee-guided evolutionary algorithm for multi-objective air traffic flow management

Published in IEEE Transactions on Evolutionary Computation, 2023

A multi-objective evolutionary method for balancing competing objectives in air traffic flow management.

Recommended citation: Tong Guo, Yi Mei, Ke Tang, and Wenbo Du. (2023). A knee-guided evolutionary algorithm for multi-objective air traffic flow management. IEEE Transactions on Evolutionary Computation, 28(4), 994-1008.

Cooperative co-evolution for large-scale multiobjective air traffic flow management

Published in IEEE Transactions on Evolutionary Computation, 2023

A cooperative co-evolution framework designed for large-scale multi-objective air traffic flow management.

Recommended citation: Tong Guo, Yi Mei, Ke Tang, and Wenbo Du. (2023). Cooperative co-evolution for large-scale multiobjective air traffic flow management. IEEE Transactions on Evolutionary Computation, 28(6), 1644-1658.

Genetic programming with multifidelity surrogates for large-scale dynamic air traffic flow management

Published in IEEE Transactions on Evolutionary Computation, 2024

A multifidelity surrogate-assisted genetic programming method for 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.

Urban air mobility: Review and challenges

Published in IEEE Intelligent Transportation Systems Magazine, 2024

A review of the emerging urban air mobility field, including open challenges in operations, optimization, and system design.

Recommended citation: Tong Guo, Yumeng Li, Jun Chen, Jianjun Wu, Yu Zhang, Sameer Alam, Kaiquan Cai, and Wenbo Du. (2024). Urban air mobility: Review and challenges. IEEE Intelligent Transportation Systems Magazine.

Learning-aided neighborhood search for vehicle routing problems

Published in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025

A learning-assisted neighborhood search framework for solving vehicle routing problems more effectively.

Recommended citation: Tong Guo, Yi Mei, Mengjie Zhang, Haoran Zhao, Kaiquan Cai, and Wenbo Du. (2025). Learning-aided neighborhood search for vehicle routing problems. IEEE Transactions on Pattern Analysis and Machine Intelligence.

Emergency scheduling of aerial vehicles via graph neural neighborhood search

Published in IEEE Transactions on Artificial Intelligence, 2025

Graph neural neighborhood search for emergency scheduling of aerial vehicles.

Recommended citation: Tong Guo, Yi Mei, Wenbo Du, Yisheng Lv, Yumeng Li, and Tao Song. (2025). Emergency scheduling of aerial vehicles via graph neural neighborhood search. IEEE Transactions on Artificial Intelligence, 6(7), 1808-1822.

Enhanced evolution of parallel algorithm portfolio for vehicle routing problem via transfer optimization

Published in IEEE Transactions on Evolutionary Computation, 2025

A transfer optimization approach for evolving parallel algorithm portfolios for vehicle routing problems.

Recommended citation: Tong Guo, Yi Mei, Mengjie Zhang, Ke Tang, Kaiquan Cai, and Wenbo Du. (2025). Enhanced evolution of parallel algorithm portfolio for vehicle routing problem via transfer optimization. IEEE Transactions on Evolutionary Computation.

Multitree genetic programming with behavioral semantics for large-scale dynamic air traffic flow management

Published in IEEE Transactions on Evolutionary Computation, 2026

Behavioral semantics and multitree genetic programming for large-scale dynamic air traffic flow management.

Recommended citation: Tong Guo, Yi Mei, Mengjie Zhang, Hui Ding, and Wenbo Du. (2026). Multitree genetic programming with behavioral semantics for large-scale dynamic air traffic flow management. IEEE Transactions on Evolutionary Computation.

Automated large-scale CVRP solver design via LLM-assisted flexible MCTS

Published in arXiv preprint, 2026

An LLM-assisted flexible MCTS framework for automated large-scale CVRP solver design.

Recommended citation: Tong Guo, Caishun Chen, and Yew Soon Ong. (2026). Automated large-scale CVRP solver design via LLM-assisted flexible MCTS. arXiv:2605.03339.