All Outputs (97)

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.

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.

A dynamic truck dispatching problem in marine container terminal (2016)
Presentation / Conference Contribution
Chen, J., Bai, R., Dong, H., Qu, R., & Kendall, G. A dynamic truck dispatching problem in marine container terminal. Presented at 2016 IEEE Symposium on Computational Intelligence in Scheduling and Network Design (IEEE SSCI 2016)

In this paper, a dynamic truck dispatching problem of a marine container terminal is described and discussed. In this problem, a few containers, encoded as work instructions, need to be transferred between yard blocks and vessels by a fleet of trucks... Read More about A dynamic truck dispatching problem in marine container terminal.

An application programming interface with increased performance for optimisation problems data (2016)
Journal Article
Pinheiro, R. L., Landa-Silva, D., Qu, R., Constantino, A. A., & Yanaga, E. (in press). An application programming interface with increased performance for optimisation problems data. Journal of Management Analytics, 3(4), https://doi.org/10.1080/23270012.2016.1233514

An optimisation problem can have many forms and variants. It may consider different objectives, constraints, and variables. For that reason, providing a general application programming interface (API) to handle the problem data efficiently in all sce... Read More about An application programming interface with increased performance for optimisation problems data.

Solving the randomly generated university examination timetabling problem through Domain Transformation Approach (DTA) (2016)
Book Chapter
Nor Abdul Rahim, S. K., Bargiela, A., & Qu, R. (2016). Solving the randomly generated university examination timetabling problem through Domain Transformation Approach (DTA). In Proceedings of the International Conference on Computing, Mathematics and Statistics (iCMS 2015): bridging research endeavo. Springer Singapore. https://doi.org/10.1007/978-981-10-2772-7_8

Amongst the wide-ranging areas of the timetabling problems, educational timetabling was reported as one of the most studied and researched areas in the timetabling literature. In this paper, our focus is the university examination timetabling. Despit... Read More about Solving the randomly generated university examination timetabling problem through Domain Transformation Approach (DTA).

A quantum inspired evolutionary algorithm for dynamic multicast routing with network coding (2016)
Presentation / Conference Contribution
Xing, H., Xu, L., Qu, R., & Qu, Z. A quantum inspired evolutionary algorithm for dynamic multicast routing with network coding. Presented at 16th International Symposium on Communications and Information Technologies (ISCIT 2016)

This paper studies and models the multicast routing problem with network coding in dynamic network environment, where computational and bandwidth resources are to be jointly optimized. A quantum inspired evolutionary algorithm (QEA) is developed to a... Read More about A quantum inspired evolutionary algorithm for dynamic multicast routing with network coding.

A PBIL for load balancing in network coding based multicasting (2016)
Journal Article
Xing, H., Xu, Y., Qu, R., & Xu, L. (2016). A PBIL for load balancing in network coding based multicasting. Lecture Notes in Artificial Intelligence, 9787, 34-44. https://doi.org/10.1007/978-3-319-42108-7_3

One of the most important issues in multicast is how to achieve a balanced traffic load within a communications network. This paper formulates a load balancing optimization problem in the context of multicast with network coding and proposes a modifi... Read More about A PBIL for load balancing in network coding based multicasting.

Hybridising local search with Branch-and-Bound for constrained portfolio selection problems (2016)
Presentation / Conference Contribution
He, F., & Qu, R. Hybridising local search with Branch-and-Bound for constrained portfolio selection problems. Presented at 30th EUROPEAN Conference on Modelling and Simulation

In this paper, we investigate a constrained portfolio selection problem with cardinality constraint, minimum size and position constraints, and non-convex transaction cost. A hybrid method named Local Search Branch-and-Bound (LS-B&B) which integrates... Read More about Hybridising local search with Branch-and-Bound for constrained portfolio selection problems.

Towards an efficient API for optimisation problems data (2016)
Presentation / Conference Contribution
Pinheiro, R. L., Landa-Silva, D., Qu, R., Yanaga, E., & Constantino, A. A. (2016, April). Towards an efficient API for optimisation problems data. Presented at ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems, Rome, Italy

The literature presents many application programming interfaces (APIs) and frameworks that provide state of the art algorithms and techniques for solving optimisation problems. The same cannot be said about APIs and frameworks focused on the problem... Read More about Towards an efficient API for optimisation problems data.

A variable neighbourhood search algorithm with compound neighbourhoods for VRPTW (2016)
Presentation / Conference Contribution
Chen, B., Qu, R., Bai, R., & Ishibuchi, H. A variable neighbourhood search algorithm with compound neighbourhoods for VRPTW. Presented at The 2016 International Conference on Operations Research and Enterprise Systems

The Vehicle Routing Problem with Time Windows (VRPTW) consists of constructing least cost routes from a depot to a set of geographically scattered service points and back to the depot, satisfying service time interval and capacity constraints. A Var... Read More about A variable neighbourhood search algorithm with compound neighbourhoods for VRPTW.

Constrained portfolio optimisation: the state-of-the-art Markowitz models (2016)
Presentation / Conference Contribution
Jin, Y., Qu, R., & Atkin, J. Constrained portfolio optimisation: the state-of-the-art Markowitz models. Presented at The 2016 International Conference on Operations Research and Enterprise Systems

This paper studies the state-of-art constrained portfolio optimisation models, using exact solver to identify the optimal solutions or lower bound for the benchmark instances at the OR-library with extended constraints. The effects of pre-assignment,... Read More about Constrained portfolio optimisation: the state-of-the-art Markowitz models.

Good Laboratory Practice for optimization research (2015)
Journal Article
Kendall, G., Bai, R., Blazewicz, J., De Causmaecker, P., Gendreau, M., John, R., Li, J., McCollum, B., Pesch, E., Qu, R., Sabar, N., Vanden Berghe, G., & Yee, A. (2016). Good Laboratory Practice for optimization research. Journal of the Operational Research Society, 67(4), 676-689. https://doi.org/10.1057/jors.2015.77

Good Laboratory Practice has been a part of non-clinical research for over 40 years yet. Optimization Research, despite having many papers discussing standards being published over the same period of time, has yet to embrace standards that underpin i... Read More about Good Laboratory Practice for optimization research.

A Modified Ant Colony Optimization Algorithm for Network Coding Resource Minimization (2015)
Journal Article
Wang, Z., Xing, H., Li, T., Yang, Y., Qu, R., & Pan, Y. (2016). A Modified Ant Colony Optimization Algorithm for Network Coding Resource Minimization. IEEE Transactions on Evolutionary Computation, 20(3), 325-342. https://doi.org/10.1109/TEVC.2015.2457437

The paper presents a modified ant colony optimization approach for the network coding resource minimization problem. It is featured with several attractive mechanisms specially devised for solving the network coding resource minimization problem: 1)... Read More about A Modified Ant Colony Optimization Algorithm for Network Coding Resource Minimization.

A compromise based fuzzy goal programming approach with satisfaction function for multi-objective portfolio optimisation (2015)
Presentation / Conference Contribution
He, F., Qu, R., & John, R. A compromise based fuzzy goal programming approach with satisfaction function for multi-objective portfolio optimisation. Presented at 29th European Conference on Modelling and Simulation ECMS 2015

In this paper we investigate a multi-objective portfolio selection model with three criteria: risk, return and liquidity for investors. Non-probabilistic uncertainty factors in the market, such as imprecision and vagueness of investors’ preference an... Read More about A compromise based fuzzy goal programming approach with satisfaction function for multi-objective portfolio optimisation.

Price and service competition with maintenance service bundling (2015)
Journal Article
Wang, Y., Sun, L., Qu, R., & Li, G. (2015). Price and service competition with maintenance service bundling. Journal of Systems Science and Systems Engineering, 24(2), https://doi.org/10.1007/s11518-015-5267-z

In many equipment manufacturing industries, firms compete with each other not only on products price, but also on maintenance service. More and more traditional products oriented firms are offering their customers products bundled with maintenance se... Read More about Price and service competition with maintenance service bundling.

A greedy heuristic for workforce scheduling and routing with time-dependent activities constraints (2015)
Presentation / Conference Contribution
Castillo-Salazar, J. A., Landa-Silva, D., & Qu, R. A greedy heuristic for workforce scheduling and routing with time-dependent activities constraints. Presented at International Conference on Operations Research and Enterprise Systems (ICORES 2015)

We present a greedy heuristic (GHI) designed to tackle five time-dependent activities constraints (synchronisation, overlap, minimum difference, maximum difference and minimum-maximum difference) on workforce scheduling and routing problems. These ty... Read More about A greedy heuristic for workforce scheduling and routing with time-dependent activities constraints.

Hybridising heuristics within an estimation distribution algorithm for examination timetabling (2014)
Journal Article
Qu, R., Pham, D. N. T., Bai, R., & Kendall, G. (2015). Hybridising heuristics within an estimation distribution algorithm for examination timetabling. Applied Intelligence, 42(4), 679-693. https://doi.org/10.1007/s10489-014-0615-0

This paper presents a hybrid hyper-heuristic approach based on estimation distribution algorithms. The main motivation is to raise the level of generality for search methodologies. The objective of the hyper-heuristic is to produce solutions of accep... Read More about Hybridising heuristics within an estimation distribution algorithm for examination timetabling.