Outputs (104)

Modified mixed-dimension chaotic particle swarm optimization for liner route planning with empty container repositioning (2018)
Presentation / Conference Contribution
Yu, M., Chen, Z., Chen, L., Qu, R., & Niu, B. (2018, November). Modified mixed-dimension chaotic particle swarm optimization for liner route planning with empty container repositioning. Presented at The 13th International Conference on Bio-inspired Computing: Theories and Applications, Beijing, China

Empty container repositioning has become one of the important issues in ocean shipping industry. Researchers often solve these problems using linear programming or simulation. For large-scale problems, heuristic algorithms showed to be preferable due... Read More about Modified mixed-dimension chaotic particle swarm optimization for liner route planning with empty container repositioning.

Iteration-related various learning particle swarm optimization for quay crane scheduling problem (2018)
Presentation / Conference Contribution
Yu, M., Cong, X. C., Niu, B., & Qu, R. (2018, September). Iteration-related various learning particle swarm optimization for quay crane scheduling problem. Presented at The 13th International Conference on Bio-inspired Computing: Theories and Applications, Beijing, China

Quay crane scheduling is critical in reducing operation costs at container terminals. Designing a schedule to handling containers in an efficient order can be difficult. For this problem which is proved NP-hard, heuristic algorithms are effective to... Read More about Iteration-related various learning particle swarm optimization for quay crane scheduling problem.

A hyper-heuristic with two guidance indicators for bi-objective mixed-shift vehicle routing problem with time windows (2018)
Journal Article
Chen, B., Qu, R., Bai, R., & Laesanklang, W. (2018). A hyper-heuristic with two guidance indicators for bi-objective mixed-shift vehicle routing problem with time windows. Applied Intelligence, 48(12), 4937–4959. https://doi.org/10.1007/s10489-018-1250-y

In this paper, a Mixed-Shift Vehicle Routing Problem is proposed based on a real-life container transportation problem. In a long planning horizon of multiple shifts, transport tasks are completed satisfying the time constraints. Due to the different... Read More about A hyper-heuristic with two guidance indicators for bi-objective mixed-shift vehicle routing problem with time windows.

Hybrid multi-objective evolutionary algorithms based on decomposition for wireless sensor network coverage optimization (2018)
Journal Article
Xu, Y., Ding, O., Qu, R., & Li, K. (2018). Hybrid multi-objective evolutionary algorithms based on decomposition for wireless sensor network coverage optimization. Applied Soft Computing, 68, 268-282. https://doi.org/10.1016/j.asoc.2018.03.053

In Wireless Sensor Networks (WSN), maintaining a high coverage and extending the network lifetime are two conflicting crucial issues considered by real world service providers. In this paper, we consider the coverage optimization problem in WSN with t... Read More about Hybrid multi-objective evolutionary algorithms based on decomposition for wireless sensor network coverage optimization.

Variable-depth adaptive large meighbourhood search algorithm for Open Periodic Vehicle Routing Problem with time windows (2017)
Presentation / Conference Contribution
Chen, B., Qu, R., & Ishibuchi, H. Variable-depth adaptive large meighbourhood search algorithm for Open Periodic Vehicle Routing Problem with time windows. Presented at The 19th International Conference on Harbor, Maritime & Multimodal Logistics Modelling and Simulation

The Open Periodic Vehicle Routing Problem with Time Windows (OPVRPTW) is a practical transportation routing and scheduling problem arising from real-world scenarios. It shares some common features with some classic VRP variants. The problem has a tig... Read More about Variable-depth adaptive large meighbourhood search algorithm for Open Periodic Vehicle Routing Problem with time windows.

Change detection in SAR images based on the salient map guidance and an accelerated genetic algorithm (2017)
Presentation / Conference Contribution
Mu, C., Li, C., Liu, Y., Sun, M., Jiao, L., & Qu, R. (2017, June). Change detection in SAR images based on the salient map guidance and an accelerated genetic algorithm. Presented at 2017 IEEE Congress on Evolutionary Computation (CEC 2017), Donostia, Spain

This paper proposes a change detection algorithm in synthetic aperture radar (SAR) images based on the salient image guidance and an accelerated genetic algorithm (S-aGA). The difference image is first generated by logarithm ratio operator based on t... Read More about Change detection in SAR images based on the salient map guidance and an accelerated genetic algorithm.

Information core optimization using Evolutionary Algorithm with Elite Population in recommender systems (2017)
Presentation / Conference Contribution
Mu, C., Cheng, H., Feng, W., Liu, Y., & Qu, R. Information core optimization using Evolutionary Algorithm with Elite Population in recommender systems. Presented at 2017 IEEE Congress on Evolutionary Computation (CEC 2017)

Recommender system (RS) plays an important role in helping users find the information they are interested in and providing accurate personality recommendation. It has been found that among all the users, there are some user groups called “core users”... Read More about Information core optimization using Evolutionary Algorithm with Elite Population in recommender systems.

A hybrid EDA for load balancing in multicast with network coding (2017)
Journal Article
Xing, H., Li, S., cui, Y., Yan, L., Pan, W., & Qu, R. (2017). A hybrid EDA for load balancing in multicast with network coding. Applied Soft Computing, 59, https://doi.org/10.1016/j.asoc.2017.06.003

Load balancing is one of the most important issues in the practical deployment of multicast with network coding. However, this issue has received little research attention. This paper studies how traffic load of network coding based multicast (NCM) i... Read More about A hybrid EDA for load balancing in multicast with network coding.

An improved MOEA/D algorithm for multi-objective multicast routing with network coding (2017)
Journal Article
Xing, H., Wang, Z., Li, T., Li, H., & Qu, R. (2017). An improved MOEA/D algorithm for multi-objective multicast routing with network coding. Applied Soft Computing, 59, https://doi.org/10.1016/j.asoc.2017.05.033

Network coding enables higher network throughput, more balanced traffic, and securer data transmission. However, complicated mathematical operations incur when packets are combined at intermediate nodes, which, if not operated properly, lead to very... Read More about An improved MOEA/D algorithm for multi-objective multicast routing with network coding.

A survey on cyber security of CAV (2017)
Presentation / Conference Contribution
He, Q., Meng, X., & Qu, R. A survey on cyber security of CAV. Presented at 2017 Forum on Cooperative Positioning and Service (CPGPS17)

With the ever fast developments of technologies in science and engineering, it is believed that CAV (connected and autonomous vehicles) will come into our daily life soon. CAV could be used in many different aspects in our lives such as public transp... Read More about A survey on cyber security of CAV.