Professor RONG QU's Outputs (5)

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.