All Outputs (6)

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. (2017). Variable-depth adaptive large meighbourhood search algorithm for Open Periodic Vehicle Routing Problem with time windows.

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.

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. (2017). Information core optimization using Evolutionary Algorithm with Elite Population in recommender systems.

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. (2017). A survey on cyber security of CAV.

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.

Mean-VaR portfolio optimization: a nonparametric approach (2017)
Journal Article
Lwin, K. T., Qu, R., & MacCarthy, B. L. (2017). Mean-VaR portfolio optimization: a nonparametric approach. European Journal of Operational Research, 260(2), https://doi.org/10.1016/j.ejor.2017.01.005

Portfolio optimization involves the optimal assignment of limited capital to different available financial assets to achieve a reasonable trade-off between profit and risk. We consider an alternative Markowitz's mean-variance model, in which the vari... Read More about Mean-VaR portfolio optimization: a nonparametric approach.