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Rong Qu

Professor of Computer Science, Faculty of Science

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Expertise Summary

Real world applications:

  • Transport Logistic Scheduling, Vehicle Routing
  • Cyber Security for Connected and Autonomous Vehicles (CAVs)
  • Personnel Scheduling, Portfolio Optimization, Multicast Network Routing (Network Coding), Timetabling

Algorithms / techniques:

  • Automated Algorithm Design; Hyper-heuristics; Evolutionary Algorithms; Meta-heuristics
  • Machine Learning supported Evolutionary Algorithms
  • Constraint Programming; Integer Programming, Case Based Reasoning

Teaching Summary

* Introduction to Artificial Intelligence * Selected Topics in Artificial Intelligence * Constraint Logic Programming * Artificial Intelligence Methods * Decision Support Methodologies

Research Summary

Real world applications:

  • Transport Logistic Scheduling, Vehicle Routing
  • Cyber Security for Connected and Autonomous Vehicles (CAVs)
  • Personnel Scheduling, Portfolio Optimization, Multicast Network Routing (Network Coding), Timetabling

Algorithms / techniques:

  • Hyper-heuristics; Evolutionary Algorithms; Meta-heuristics
  • Constraint Programming; Integer Programming, Case Based Reasoning

Selected Publications

  • QU, R, BURKE, E.K, MCCOLLUM, B, MERLOT, L.T.G. and LEE, S.Y., 2009. Journal of Scheduling. 12(1), 55-89
  • QU, R., BURKE, E.K. and MCCOLLUM, B., 2009. European Journal of Operational Research. 198(2), 392-404
  • QU, R. and BURKE, E.K., 2009. Journal of the Operational Research Society. 60, 1273-1285
  • BURKE, E.K., CURTOIS, T.E., POST, G., QU, R. and VELTMAN, B., 2008. European Journal of Operational Research. 188(2), 330-341

Past Research

Artificial Intelligence methods (i.e. heuristics, meta-heuristics and hyper-heuristics) integrated with machine learning for real world scheduling and optimization problems.

Future Research

Modeling and fundamentals of evolutionary algorithms towards automated algorithm design for optimisaiton problems.

  • CASTILLO-SALAZAR, J. ARTURO, LANDA-SILVA, DARIO and QU, RONG, 2016. Annals of Operations Research. 239(1), 39-67
  • KENDALL, G., BAI, R., BLAZEWICZ, J., CAUSMAECKER, P. D., GENDREAU, M., JOHN, R., LI, J., MCCOLLUM, B., PESCH, E., QU, R., SABAR, N., BERGHE, G. V. and YEE, A. S. V., 2016. Journal of Operational Research Society. 66(11), 1-14
  • Z. WANG, H. XING, T. LI, Y.YANG, R. QU, AND Y. PAN, 2016. IEEE Transactions on Evolutionary Computation. (In Press.)
  • J. ARTURO CASTILLO-SALAZAR, D. LANDA-SILVA, R. QU, 2016. Annals of Operations Research. (In Press.)
  • BINHUI CHEN, RONG QU, RUIBIN BAI AND HISAO ISHIBUCHI, 2016. A Variable Neighbourhood Search Algorithm with Compound Neighbourhoods for VRPTW: 2016 International Conference on Operations Research and Enterprise Systems (ICORES'16) In: 2016 International Conference on Operations Research and Enterprise Systems (ICORES'16).
  • YAN JIN, RONG QU, JASON ATKIN, 2016. Constrained Portfolio Optimisation: the state-of-the-art Markowitz Models In: 2016 International Conference on Operations Research and Enterprise Systems (ICORES'16).
  • F. HE, 2016. Hybridising Local Search with Branch-and-Bound for Cnonstrained Portfolio Selection Problems In: The 30th EUROPEAN Conference on Modelling and Simulation (ECMS'16).
  • RL PINHEIRO, D LANDA-SILVA, R. QU and E YANAGA, 2016. Towards an Efficient API for Optimisation Problems Data Avoiding the Drawback of Relying on Built-in Garbage Collectors In: The 18th International Conference on Enterprise Information Systems (ICEIS'16).
  • 2016. Domain Transformation in Nurse Scheduling In: National Innovation and Invention Competition Through Exhibition 2015 (iCompEx'15).
  • HUANLAI XING, YING XU, RONG QU, LEXI XU, 2016. In: 16th International on Conference Computational Science and Its Applications. LNCS 9787. 34-44
  • SABAR, N. R., M. AYOB, KENDALL, G. and QU, R., 2015. IEEE Transactions on Cybernetics. 45(2), 217 - 228
  • N. R. SABAR, M. AYOB, G. KENDALL and R. QU, 2015. IEEE Transactions on Evolutionary Computation. 19(3), 309 - 325
  • J. LI, R. BAI, Y. SHEN and R. QU, 2015. European Journal of Operational Research. 242(3), 798-806
  • R. QU, N. PHAM, R. BAI and G. KENDALL, 2015. Applied Intelligence. 42(4), 679-693
  • Y. WANG, L. SUN, R. QU, G. LI, 2015. Journal of Systems Science and Systems Engineering. 24(2), 168-189
  • Z. WANG, H. XING, T. LI, Y. YANG, R. QU, 2015. An Improved MOEA/D for QoS Oriented Multimedia Multicasting with Network Coding In: 8th International Conference on Mobile Multimedia Communications (MOBIMEDIA 2015).
  • T. CUI, R. BAI, A.J. PARKES, F. HE, R. QU, J. LI, 2015. A Hybrid Genetic Algorithm for a Two-Stage Stochastic Portfolio Optimization With Uncertain Asset Prices In: The 2015 IEEE Congress on Evolutionary Computation (CEC'2015).
  • F. HE R. QU, AND R. JOHN, 2015. A Compromise Based Fuzzy Goal Programming Approach for Multi-objective Portfolio Optimisation In: 29th European Conference on Modelling and Simulation (ECMS 2015).
  • E.K. BURKE, R. QU and A. SOGHIER, 2014. Annals of OR. 218(1), 129-145
  • P. BRUCKER and R. QU, 2014. Annals of OR. 218(1), 107-114
  • H. XING, R. QU, G. KENDALL and R. BAI, 2014. Journal of the Operational Research Society. 65, 1261–1277
  • XING, H., QU, R., L BAI and Y JI, 2014. Applied Intelligence. 41(3), 820-836
  • K. LWIN, R. QU and G. KENDALL, 2014. Applied Soft Computing. 757–772
  • F. HE and R. QU, 2014. Information Sciences. 190-205
  • YAN JIN, RONG QU and JASON ATKIN, 2014. In: 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2014).
  • EDWARD KENT, JASON ATKIN and RONG QU, 2014. Vehicle Routing in a Forestry Commissioning Operation Using Ant Colony Optimisation Lecture Notes in Computer Science: Theory and Practice of Natural Computing. 8890, 95-106
  • E.K. BURKE, T. CURTOIS, R. QU AND G. VANDEN BERGHE, 2013. INFORMS Journal on Computing. (In Press.)
  • S.K.N. ABDUL RAHIM, A. BARGIELA, R. QU, 2013. Artificial Intelligence Research. 2(1), 122-138
  • H. XING, R. QU, 2013. Information Sciences. 233, 36–53
  • Y. XU, R. QU, R. LI, 2013. Annals of Operations Research. 260, 527–555
  • M.HADWAN, M. AYOB, N.R. SABAR, R. QU, 2013. Information Sciences. 233, 126–140
  • K. LWIN, R. QU, 2013. Applied Intelligence. 39(2), 251-266
  • SABAR, N. R., AYOB, M., KENDALL, G. and QU, R., 2013. IEEE Transactions on Evolutionary Computation. 17(6), 840-861
  • BURKE, E.K., GENDREAU, M., HYDE, M., KENDALL, G., OCHOA, G., 'OZCAN, E. and QU, R., 2013. Journal of the Operational Research Society. 64(12), 1695-1724
  • SABAR, NASSER R., AYOB, MASRI, KENDALL, GRAHAM and QU, RONG, 2013. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION. 17(6), 840-861
  • BURKE, EDMUND K., CURTOIS, TIMOTHY, QU, RONG and BERGHE, GREET VANDEN, 2013. INFORMS JOURNAL ON COMPUTING. 25(3), 411-419
  • SOGHIER, AMR and QU, RONG, 2013. APPLIED INTELLIGENCE. 39(2), 438-450
  • N.R. SABAR, M. AYOB, G. KENDALL, R. QU, 2012. European Journal of Operational Research. 216(3), 533-543
  • XU Y. AND QU R., 2012. Applied Intelligence. 36(1), 229-241
  • H. XING AND R. QU, 2012. Applied Intelligence. 36(4), 809-823
  • E.K. BURKE, J. LI AND R. QU, 2012. Annals of OR. 196(1), 91-109
  • N.R. SABAR, M. AYOB, G. KENDALL, R. QU, 2012. Applied Intelligence. 37(1), 1-11
  • E.K. BURKE, N. PHAM, R. QU, J. YELLEN, 2012. Annals of OR. 194(1), 89-109
  • J. LI, E.K. BURKE AND R. QU, 2012. Applied Intelligence. 36(2), 442-453
  • J. LI, E.K. BURKE, T. CURTOIS, S. PETROVIC AND R. QU, 2012. Omega – International Journal of Management Science. 40(3), 283-293
  • BAI, R., KENDALL, G., QU, R. and ATKIN, J., 2012. Information Sciences. 189, 266-281
  • QU, R., XU, Y., CASTRO, J., LANDA-SILVA, D. and , 2012. Journal of Heuristics. 19(2), 317-342
  • B. MCCOLLUM, P. MCMULLAN, A.J. PARKES, E.K. BURKE and R. QU, 2012. Annals of Operations Research. 194(1), 291-315
  • Y. XU and R. QU, 2012. Computer Communications. 35, 352-365
  • J. A. CASTILLO-SALAZAR, D. LANDA-SILVA, AND R. QU, 2012. . In: The 9th International Conference on the Practice and Theory of Automated Timetabling
  • J. LI, R. QU, AND Y. SHEN, 2012. . In: 26th European Conference on Modelling and Simulation
  • BRUCKER P, QU R and BURKE E.K., 2011. European Journal of Operational Research. 210(3), 467-473
  • H. XING AND R. QU, 2011. In: The 8th European Event on the Application of Nature-inspired Techniques for Telecommunication Networks (EvoCOMNET'11) at EvoStar'2011.
  • H. XING AND R. QU, 2011. IEEE Communication Letters. 99, 1-3
  • RYAN, B., QU, R., SCHOCK, A. and PARRY, T., 2011. Ergonomics. 54(5), 436-452
  • BURKE, E.K., LI, J. and QU, R., 2010. European Journal of Operational Research. 203(2), 484-493
  • P. BRUCKER, E.K. BURKE, T. CURTOIS, R. QU* AND G. VANDEN BERGHE, 2010. Journal of Heuristics. 16(4), 559-573
  • E.K. BURKE, R. QU AND A. SOGHIER, 2010. Adaptive Selection of Heuristics for Improving Constructed Exam Timetables In: The 8th International Conference on the Practice and Theory of Automated Timetabling (PATAT 2010).
  • E.K. BURKE, T. CURTOIS, R. QU AND G. VANDEN BERGHE, 2010. Journal of Operational Research Society. 61, 1667-1679
  • Y. XU AND R. QU, 2010. Journal of Operational Research Society. 62, 313-325
  • J. LI, E.K. BURKE AND R. QU, 2010. Knowledge-Based Systems. 24(2), 322-330
  • P. BRUCKER AND R. QU, 2010. In: The 8th International Conference on the Practice and Theory of Automated Timetabling (PATAT 2010).
  • B. MCCOLLUM, P. MCMULLAN, B. PAECHTER, R. LEWIS, A. SCHAERF, L. DI GASPERO, A. J. PARKES, R. QU, AND E.K. BURKE, 2010. INFORMS Journal of Computing. 22(1), 120-130
  • BURKE, EK, ECKERSLEY, AJ, MCCOLLUM, B, PETROVIC, S and QU, R, 2010. European Journal Of Operational Research. 206(1), 46-53
  • G. OCHOA, R. QU AND E.K. BURKE, 2009. Analyzing the Landscape of a Graph Based Hyper-heuristic for Timetabling Problems In: The Genetic and Evolutionary Computation Conference (GECCO'09). 341-348
  • QU, R. and BURKE, E.K., 2009. Journal of the Operational Research Society. 60, 1273-1285
  • R. QU, F. HE AND E.K. BURKE, 2009. Hybridizing Integer Programming Models with an Adaptive Decomposition Approach for Exam Timetabling Problems In: The 4th Multidisciplinary International Scheduling: Theory and Applications 2009 (MISTA 2009). 435-446
  • S. KHATIJAH NOR ABDUL RAHIM, A. BARGIELA, RONG QU, 2009. Granular Modelling of Exam to Slot Allocation In: The 23rd EUROPEAN Conference on Modelling and Simulation.
  • Y. XU AND R. QU, 2009. A GRASP approach for the delay-constrained multicast routing problem In: The 4th Multidisciplinary International Scheduling: Theory and Applications 2009 (MISTA 2009). 93-104
  • QU, R, BURKE, E.K, MCCOLLUM, B, MERLOT, L.T.G. and LEE, S.Y., 2009. Journal of Scheduling. 12(1), 55-89
  • QU, R., BURKE, E.K. and MCCOLLUM, B., 2009. European Journal of Operational Research. 198(2), 392-404
  • G. BASKARAN, A. BARGIELA AND R. QU, 2009. Hierarchical Method for Nurse Rostering based on Granular Pre-processing of Constraints In: The 23rd EUROPEAN Conference on Modelling and Simulation.
  • E.K. BURKE, R. QU AND A. SOGHIER, 2009. Adaptive Selection of Heuristics within a GRASP for Exam Timetabling Problems In: The 4th Multidisciplinary International Scheduling: Theory and Applications 2009 (MISTA 2009). 409-423
  • F. HE AND R. QU, 2009. In: 6th International Workshop on Local Search Techniques in Constraint Satisfaction (LSCS 2009), CP'09.
  • R. QU, Y. XU, G. KENDALL, 2009. A Variable Descent Search Algorithm for Delay-Constrained Least-Cost Multicast Routing In: Learning and Intelligent OptimizatioN (LION 3), Lecture Notes in Computer Science 5851. 15-29
  • BURKE, E.K., CURTOIS, T.E., POST, G., QU, R. and VELTMAN, B., 2008. European Journal of Operational Research. 188(2), 330-341
  • R. QU, F. HE, 2008. In: The Twenty-eighth SGAI International Conference on Artificial Intelligence (AI-2008). 211-224
  • BURKE, E.K., MCCOLLUM, B., MEISELS, A., PETROVIC, S. and QU, R., 2007. European Journal of Operational Research. 176(1), 177-192
  • AYOB, M., MD. AB. MALIK A,, ABDULLAH, S., HAMDEN, A.R., KENDALL, G. and QU, R., 2007. Solving a Practical Examination Timetabling Problem: A Case ÌÇÐÄÔ­´´: Proceedings of Computational Science and Its Applications - ICCSA 2007 Lecture Notes in Computer Science. 611-624
  • R. QU* AND E.K. BURKE, 2007. Adaptive Decomposition and Construction for Examination Timetabling Problems In: Proceedings of the 3rd Multidisciplinary International Scheduling: Theory and Applications 2007 (MISTA 2007). 418-425
  • J.R. CARRINGTON, N. PHAM, R. QU, J. YELLEN, 2007. An Enhanced Weighted Graph Model for Examination / Course Timetabling In: Proceedings of 26th Workshop of the UK Planning and Scheduling Special Interest Group 2007 (PlanSIG 2007).
  • BURKE, E.K., MACCARTHY, B.L., PETROVIC, S. and QU, R., 2006. Journal of the Operational Research Society. 57(2), 148-162
  • BURKE, E.K., PETROVIC, S. and QU, R., 2006. Journal of Scheduling. 9(2), 115-132
  • BURKE, E., DROR, M., PETROVIC, S. and QU, R., 2005. Hybrid Graph Heuristics Within a Hyper-Heuristic Approach to Exam Timetabling Problems OPERATIONS RESEARCH COMPUTER SCIENCE INTERFACE SERIES. VOL 29, 79-92
  • QU, R. and BURKE, E., 2005. Hybrid variable neighbourhood hyper-heuristics for exam timetabling problems In: Meta-heuristic International Conference 2005 (MIC'05).
  • BRUCKER, P., QU, R., BURKE, E. and POST, G., 2005. A decomposition, construction and post-processing approach for a specific nurse rostering problem In: 2nd Multi-disciplinary International Conference on Scheduling: Theory & Applications. MISTA 2005. 397-406
  • BURKE, E., ECKERSLEY, A., MCCOLLUM, B., PETROVIC, S. and QU, R., 2004. Analysing similarity in exam timetabling In: 5th International Conference on the Practice and Theory of Automated Timetabling (PATAT04). 89-106
  • BURKE, E., ECKERSLEY, A., MCCOLLUM, B., PETROVIC, S. and QU, R., 2003. Similarity measures for exam timetabling problems In: 1st Multidisciplinary International Conference on Scheduling: Theory and Applications (MISTA 2003). 120-136
  • BURKE, E., ECKERSLEY, A., MCCOLLUM, B., PETROVIC, S. and QU, R., 2003. Using simulated annealing to study behaviour of various exam timetabling data sets In: 5th Metaheuristics International Conference 2003 (MIC2003).
  • BURKE, E.K., PETROVIC, S. and QU, R., 2002. Case-based heuristic selection for examination timetabling In: 4th Asia-Pacific Conference on Simulated Evolution and Learning - SEAL'02. 277-281
  • PETROVIC, R. and QU, R., 2002. Case-Based Reasoning as a Heuristic Selector in a Hyper-Heuristic for Course Timetabling Problems In: Proceedings of the Sixth International Conference on Knowledge-Based Intelligent Information Enginee.
  • BURKE, E., MACCARTHY, B., PETROVIC, S. and QU, R., 2002. Knowledge Discovery in a Hyper-Heuristic for Course Timetabling Using Case-Based Reasoning In: PATAT 2002, 4th international conference on the Practice And Theory of Automated Timetabling.
  • BURKE, E.K., MACCARTHY, B., PETROVIC, S. and QU, R., 2001. Case-based reasoning in course timetabling: an attribute graph approach In: Case-Based Reasoning Research and Development : 4th International Conference on Case-Based Reasoning, ICCBR 2001, Vancouver, BC, Canada, July 30 - August 2, 2001, Proceedings. 90-104
  • BURKE, E.K., MACCARTHY, B., PETROVIC, S. and QU, R., 2000. Knowledge Based Systems. 13(2-3), 159-165
  • BURKE, E. K., MACCARTHY, B., PETROVIC, S. and QU, R., 2000. RESEARCH AND DEVELOPMENT IN INTELLIGENT SYSTEMS. [NO] 16, 191-203
  • N.R. SABAR, M. AYOB, G. KENDALL AND R. QU, Roulette wheel graph colouring for solving examination timetabling problems In: The 3rd Annual International Conference on Combinatorial Optimization and Applications (COCOA'09), Lecture Notes in Computer Science 5573. 463-470

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