All Outputs (4)

Towards a Severity Assessment Method for Potential Cyber Attacks to Connected and Autonomous Vehicles (2020)
Journal Article
He, Q., Meng, X., & Qu, R. (2020). Towards a Severity Assessment Method for Potential Cyber Attacks to Connected and Autonomous Vehicles. Journal of Advanced Transportation, 2020, 1-15. https://doi.org/10.1155/2020/6873273

CAV (connected and autonomous vehicle) is a crucial part of intelligent transportation systems. CAVs utilize both sensors and communication components to make driving decisions. A large number of companies, research organizations, and governments hav... Read More about Towards a Severity Assessment Method for Potential Cyber Attacks to Connected and Autonomous Vehicles.

Machine Learning-Based Detection for Cyber Security Attacks on Connected and Autonomous Vehicles (2020)
Journal Article
He, Q., Meng, X., Qu, R., & Xi, R. (2020). Machine Learning-Based Detection for Cyber Security Attacks on Connected and Autonomous Vehicles. Mathematics, 8(8), Article 1311. https://doi.org/10.3390/math8081311

Connected and Autonomous Vehicle (CAV)-related initiatives have become some of the fastest expanding in recent years, and have started to affect the daily lives of people. More and more companies and research organizations have announced their initia... Read More about Machine Learning-Based Detection for Cyber Security Attacks on Connected and Autonomous Vehicles.

Assessing hyper-heuristic performance (2020)
Journal Article
Pillay, N., & Qu, R. (2021). Assessing hyper-heuristic performance. Journal of the Operational Research Society, 72(11), 2503-2516. https://doi.org/10.1080/01605682.2020.1796538

Limited attention has been paid to assessing the generality performance of hyper-heuristics. The performance of hyper-heuristics has been predominately assessed in terms of optimality which is not ideal as the aim of hyper-heuristics is not to be com... Read More about Assessing hyper-heuristic performance.

A Unified Framework of Graph-based Evolutionary Multitasking Hyper-heuristic (2020)
Journal Article
Hao, X., Qu, R., & Liu, J. (2021). A Unified Framework of Graph-based Evolutionary Multitasking Hyper-heuristic. IEEE Transactions on Evolutionary Computation, 25(1), 35-47. https://doi.org/10.1109/tevc.2020.2991717

In recent research, hyper-heuristics have attracted increasing attention among researchers in various fields. The most appealing feature of hyper-heuristics is that they aim to provide more generalized solutions to optimization problems by searching... Read More about A Unified Framework of Graph-based Evolutionary Multitasking Hyper-heuristic.