Outputs (6)

Neural Network Assisted Genetic Programming in Dynamic Container Port Truck Dispatching (2023)
Presentation / Conference Contribution
Chen, X., Bao, F., Qu, R., Dong, J., & Bai, R. (2023, September). Neural Network Assisted Genetic Programming in Dynamic Container Port Truck Dispatching. Presented at 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), Bilbao, Spain

Efficient truck dispatching is crucial for container port operations. Dynamic container port truck dispatching, a complex online optimization problem, poses significant challenges due to its uncertain and non-linear nature. This paper presents a nove... Read More about Neural Network Assisted Genetic Programming in Dynamic Container Port Truck Dispatching.

Adaptive Fuzzy Learning Superpixel Representation for PolSAR Image Classification (2021)
Journal Article
Guo, Y., Jiao, L., Qu, R., Sun, Z., Wang, S., Wang, S., & Liu, F. (2022). Adaptive Fuzzy Learning Superpixel Representation for PolSAR Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 60, Article 5217818. https://doi.org/10.1109/TGRS.2021.3128908

The increasing applications of polarimetric synthetic aperture radar (PolSAR) image classification demand for effective superpixels’ algorithms. Fuzzy superpixels’ algorithms reduce the misclassification rate by dividing pixels into superpixels, whic... Read More about Adaptive Fuzzy Learning Superpixel Representation for PolSAR Image Classification.

Fuzzy Superpixels based Semi-supervised Similarity-constrained CNN for PolSAR Image Classification (2020)
Journal Article
Guo, Y., Sun, Z., Qu, R., Jiao, L., Liu, F., & Zhang, X. (2020). Fuzzy Superpixels based Semi-supervised Similarity-constrained CNN for PolSAR Image Classification. Remote Sensing, 12(10), Article 1694. https://doi.org/10.3390/rs12101694

Recently, deep learning has been highly successful in image classification. Labeling the PolSAR data, however, is time-consuming and laborious and in response semi-supervised deep learning has been increasingly investigated in PolSAR image classifica... Read More about Fuzzy Superpixels based Semi-supervised Similarity-constrained CNN for PolSAR Image Classification.

A Multiobjective Computation Offloading Algorithm for Mobile Edge Computing (2020)
Journal Article
Song, F., Xing, H., Luo, S., Zhan, D., Dai, P., & Qu, R. (2020). A Multiobjective Computation Offloading Algorithm for Mobile Edge Computing. IEEE Internet of Things Journal, 7(9), 8780 -8799. https://doi.org/10.1109/jiot.2020.2996762

In mobile edge computing (MEC), smart mobile devices (SMDs) with limited computation resources and battery lifetime can offload their computing-intensive tasks to MEC servers, thus to enhance the computing capability and reduce the energy consumption... Read More about A Multiobjective Computation Offloading Algorithm for Mobile Edge Computing.

The General Combinatorial Optimization Problem: Towards Automated Algorithm Design (2020)
Journal Article
Qu, R., Kendall, G., & Pillay, N. (2020). The General Combinatorial Optimization Problem: Towards Automated Algorithm Design. IEEE Computational Intelligence Magazine, 15(2), 14-23. https://doi.org/10.1109/mci.2020.2976182

This paper defines a new combinatorial optimisation problem, namely General Combinatorial Optimisation Problem (GCOP), whose decision variables are a set of parametric algorithmic components, i.e. algorithm design decisions. The solutions of GCOP, i.... Read More about The General Combinatorial Optimization Problem: Towards Automated Algorithm Design.

A variable neighborhood search algorithm with reinforcement learning for a real-life periodic vehicle routing problem with time windows and open routes (2019)
Journal Article
Chen, B., Qu, R., Bai, R., & Laesanklang, W. (2020). A variable neighborhood search algorithm with reinforcement learning for a real-life periodic vehicle routing problem with time windows and open routes. RAIRO: Operations Research, 54(5), 1467-1494. https://doi.org/10.1051/ro/2019080

Based on a real-life container transport problem, a model of Open Periodic Vehicle Routing Problem with Time Windows (OPVRPTW) is proposed in this paper. In a wide planning horizon, which is divided into a number of shifts, a fixed number of trucks a... Read More about A variable neighborhood search algorithm with reinforcement learning for a real-life periodic vehicle routing problem with time windows and open routes.