Books/Journal Editorial:

Uwe Aickelin, Hadi Akbarzadeh Khorshidi, R. Qu, Hadi Charkhgard, Special Issue on "Multi-objective Evolutionary Optimization in Machine Learning" [Guest Editorial], IEEE Transactions on Evolutionary Computation, 2023. M.S. Nobile, L. Manzoni, D.A. Ashlock, R. Qu, Special Issue on "Models of Representation in Computational Intelligence" [Guest Editorial], IEEE Computational Intelligence Magazine, 18:(1), Feb, 2023. H. Jair Escalante, J. Vanschoren, N. Pillay, N. Housby, Q. Yao, R. Qu, T. Zhang, W. Tu, Y. Yu, (guest eds.) Special issue on Automated Machine Learning, 43(9), Transaction on Pattern Analysis and Machine Intelligence, 2021. N. Pillay, R. Qu (eds.) Automated Design of Machine Learning and Search Algorithms, Springer Natural Computing Series, July 2021. N. Pillay, R. Qu Hyper-Heuristics: Theory and Applications, Springer ISBN 978-3-319-96514-7. Book web site, 2018 N. Pillay, R. Qu, D. Srinivasan, B. Hammer, K. Sorensen, (guest eds.) Automated Design of Machine Learning and Search Algorithms. IEEE Comp. Int. Mag. 13(2), 2018. editorial R. Qu (ed.) "Proceedings of the 25th Workshop of the UK Planning and Scheduling Special Interest Group", December, 2006, Nottingham, UK. ISSN 1368-5708. proceedings R. Qu, M. Fox and D. Long (guest eds.) Special Issue of Artificial Intelligence Planning and Scheduling. Journal of Scheduling, 12(3), June, 2009. editorial

Journals (Peer-Reviewed)

1. X Chen, R Bai, R Qu, J Dong
   Deep Learning-Assisted Genetic Programming Ensemble Hyper-Heuristics for Dynamic Scheduling of Container Port Trucks.
   IEEE Transactions on Evolutionary Computation. pdf, doi: 10.1109/TEVC.2024.3381042, 2024.
   
   
2. Z Xiao, H Xing, R Qu, H Li, L Feng, B Zhao, J Yang
   Self-Bidirectional Decoupled Distillation for Time Series Classification.
   IEEE Transactions on Artificial Intelligence. pdf, doi: 10.1109/TAI.2024.3360180, 2024.
   
   
3. Z Xiao, X Xu, H Xing, B Zhao, X Wang, F Song, R Qu, L Feng
   DTCM: Deep Transformer Capsule Mutual Distillation for Multivariate Time Series Classification.
   IEEE Transactions on Cognitive and Developmental Systems. pdf, doi: , 2024.
   
   
4. B Lin, J Li, T Cui, H Jin, R Bai, R Qu, J Garibaldi
   A Pattern-Based Algorithm with Fuzzy Logic Bin Selector for Online Bin Packing Problem.
   Expert Systems with Applications. pdf, doi: 10.1016/j.eswa.2024.123515, 2024.
   
   
5. H Wang, A Bellotti, R Qu, R Bai
   Discrete-time Survival Models with Neural Networks for Age-Period-Cohort Analysis of Credit Risk.
   Risks. pdf, doi: 10.3390/risks12020031, 2024.
   
   
6. Z. Xiao, H. Xing, R. Qu, L. Feng, S. Luo, P. Dai, B. Zhao, Y. Dai
   Densely Knowledge-aware Network for Multivariate Time Series Classification.
   IEEE Transactions on Systems, Man and Cybernetics. pdf, doi: 10.1109/TSMC.2023.3342640, Jan 2024.
   
   
7. Z. Xiao, H. Tong, R. Qu, H. Xing, S. Luo, Z. Zhu, F. Song, L. Feng
   CapMatch: Semi-supervised Contrastive Transformer Capsule with Feature-based Knowledge Distillation for Human Activity Recognition.
   IEEE Transactions on Neural Networks and Learning Systems. pdf, doi: 10.1109/TNNLS.2023.3344294, December 2023.
   
   
8. J. Jin, T. Cui, R. Bai, R. Qu
   Container Port Truck Dispatching Optimization using Real2Sim based Deep Reinforcement Learning.
   European Journal of Operational Research. pdf, doi: 10.1016/j.ejor.2023.11.038, November 2023.
   
   
9. W. Yi, R. Qu
   Automated Design of Search Algorithms based on Reinforcement Learning.
   Information Sciences. pdf, doi: 10.1016/j.ins.2023.119639, 649, 119639, November 2023.
   
   
10. W. Meng, R. Qu
    Automated design of search algorithms: Predicting algorithmic components with LSTM
    Expert Systems with Applications, September 2023. pdf, doi: 10.1016/j.eswa.2023.121431
    
    
11. Z. Xiao, H. Xing, B. Zhao, R. Qu, S. Luo, P. Dai, K. Li, Z. Zhu
    Deep Contrastive Representation Learning With Self-Distillation.
    IEEE Transactions on Emerging Topics in Computational Intelligence pdf, doi: 10.1109/TETCI.2023.3304948, 29 August 2023.
    
    
12. W. Yi, R. Qu, L. Jiao
    Automated algorithm design using proximal policy optimisation with identified features.
    Expert Systems with Applications. pdf, doi: 10.1016/j.eswa.2022.119461, Volume 216, 15 April 2023, 119461.
    
    
13. Y Xu, H Zhang, L Huang, R Qu, Y Nojima
    A Pareto Front grid guided multi-objective evolutionary algorithm.
    Applied Soft Computing, 110095, Feb 2023. pdf, doi: 10.1016/j.asoc.2023.110095
    
    
14. W. Yi, R Qu, L. Jiao, B. Niu
    Automated Design of Metaheuristics Using Reinforcement Learning within a Novel General Search Framework.
    IEEE Transactions on Evolutionary Computation 27(4): 1072-1084, August 2023. pdf, doi: 10.1109/TEVC.2022.3197298
    
    
15. H. Xing, Z. Xiao, R. Qu, Z. Zhu, B. Zhao
    An Efficient Federated Distillation Learning System for Multi-task Time Series Classification.
    IEEE Transactions on Instrumentation & Measurement 71: 1-12, 2022. pdf, doi: 10.1109/TIM.2022.3201203
    Web of Science Top 1% cited
    
    
16. H. Zhong, Z. Lian, B. Xue, B. Niu, R. Qu, T. Zhou
    An Integrated Container Terminal Scheduling Problem with Different-berth Sizes via Multi-objective Hydrologic Cycle Optimization.
    International Journal of Intelligent Systems, 37(12): 11909-11925, December 2022. pdf, doi: 10.1002/int.23069
    
    
17. M. Chen, R. Qu, W. Fang
    Case-Based Reasoning System for Fault Diagnosis of Aero-engines.
    Expert Systems with Applications, 202, 117350, September 2022. pdf, doi: 10.1016/j.eswa.2022.117350
    Web of Science Top 10% cited
    
    
18. B Lin, J. Li, R Bai, R Qu, T. Cui, H. J.
    Identify Patterns in Online Bin Packing Problem: An Adaptive Pattern-Based Algorithm.
    Symmetry 2022, 14(7), 1301. pdf, doi.org/10.3390/sym14071301.
    
    
19. X. Li, L. Jiao, H. Zhu, F. Liu, S. Yang, X. Zhang, S. Wang, R. Qu
    A Collaborative Learning Tracking Network for Remote Sensing Videos.
    IEEE Transactions on Cybernetics, doi: 10.1109/TCYB.2022.3182993, March 2023, 53(3): 1954-1967.
    
    
20. X. Chen, R. Bai, R. Qu, H. Dong
    Cooperative Double-Layer Genetic Programming Hyper-Heuristic for Online Container Terminal Truck Dispatching.
    IEEE Transactions on Evolutionary Computation, 25(5), 1220-1234, doi: 10.1109/TEVC.2022.3209985, Oct, 2023
    
    
21. Y. Zhang, R. Bai, R. Qu, C. Tu, J. Jin
    A deep reinforcement learning based hyper-heuristic for combinatorial optimisation with uncertainties
    European Journal of Operational Research, 300(2): 418-427, July 2022. pdf, doi: 10.1016/j.ejor.2021.10.032
    Web of Science Top 10% cited
    
    
22. H. Xing, J Zhu, R. Qu, P Dai, S Luo, M Iqbal
    An ACO for Energy-Efficient and Traffic-aware Virtual Machine Placement in Cloud Computing.
    Swarm and Evolutionary Computation, 68, 101012, pdf, doi: 10.1016/j.swevo.2021.101012, Feb 2022.
    Web of Science Top 10% cited
    
    
23. Y. Guo, L. Jiao, R. Qu, S. Wang, S. Wang, F. Liu, Z. Sun
    Adaptive fuzzy learning superpixels representation for PolSAR image classification
    IEEE Transactions on Geoscience and remote sensing, 60: 1-18. doi: 10.1109/TGRS.2021.3128908, 2022. pdf
    
    
24. W. Meng, R. Qu
    Automated Design of Search Algorithms: Learning on algorithmic components
    Expert Systems with Applications, pdf, doi: 10.1016/j.eswa.2021.115493, Volume 185, 115493, December 2021.
    
    
25. N. Xue, R. Bai, R Qu, U. Aicklein
    A Hybrid Pricing and Cutting Approach for the Multi-Shift Full Truckload Vehicle Routing Problem.
    European Journal of Operational Research, 292(2): 500-514, 2021. pdf, doi: 10.1016/j.ejor.2020.10.037
    
    
26. X. Hao, R. Qu, J. Liu
    A Unified Framework of Graph-Based Evolutionary Multitasking Hyper-heuristics.
    IEEE Transaction on Evolutionary Computation, 25(1): 35-47, Feb, 2021. pdf, supplyment, doi: 10.1109/TEVC.2020.2991717
    Web of Science Top 10% cited
    
    
27. N. Pillay, R. Qu
    Assessing hyper-heuristic performance.
    Journal of the Operational Research Society, Volume 72, Issue 11, 2021. pdf, doi: 10.1080/01605682.2020.1796538
    
    
28. Q. He, X. Meng, R Qu, R. Xi
    Machine Learning-Based Detection for Cyber Security Attacks on Connected and Autonomous Vehicles.
    Mathematics, 8(8): 1311, 2020. pdf, doi: 10.3390/math8081311
    
    
29. Q. He, X. Meng, R Qu
    Towards a Severity Assessment Method for Potential Cyber Attacks to Connected and Autonomous Vehicles.
    Journal of Advanced Transportation, 20, 2020. pdf, doi: 10.1155/2020/6873273
    
    
30. H Xing, F Song, S Luo, D Zhan, P Dai, R Qu
    A Multiobjective Computation Offloading Algorithm for Mobile Edge Computing.
    IEEE Internet of Things Journal, 7(9): 8780-8799, 2020. pdf, doi: 10.1109/JIOT.2020.2996762
    Web of Science Top 10% cited
    
    
31. Y Guo, Z Sun, R Qu, L Jiao, F Liu, X Zhang
    Fuzzy Superpixels based Semi-supervised Similarity-constrained CNN for PolSAR Image Classification
    Remote Sensoring, 12(10), 1694, 2020. pdf, doi: 10.3390/rs12101694
    
    
32. R. Qu, G. Kendall, N. Pillay
    The General Combinatorial Optimisation Problem - Towards Automated Algorithm Design.
    IEEE Computational Intelligence Magazine, 15(2): 14-23, May, 2020. doi: 10.1109/MCI.2020.2976182, pdf. Google site
    
    
33. T. Cui, R. Bai, S. Ding, A. Parkes, R. Qu, F. He, J. Li
    A Hybrid Combinatorial Approach to a Two-Stage Stochastic Portfolio Optimization Model with Uncertain Asset Prices.
    Soft Computing, 24: 2809-2831, 2020, doi: 10.1007/s00500-019-04517-y, pdf.
    
    
34. B. Chen, R. Qu, R. Bai, W. Laesanklang
    A Variable Neighborhood Search Algorithm with Reinforcement Learning for a Real-life Periodic Vehicle Routing Problem with Time Windows and Open Routes
    RAIRO - Operations Research, 54(5): 1467-1494, 2020, doi: 10.1051/ro/2019080, pdf
    
    
35. L. Jiao, F. Zhang, F. Liu, S. Yang, L. Li, Z. Feng, R. Qu
    A Survey of Deep Learning-based Object Detection.
    IEEE Access, 7: 128837-128868, 2019, doi: 10.1109/ACCESS.2019.2939201, pdf
    Web of Science Top 0.1% cited
    
    
36. C. Mu, C. Li, Y. Liu, R. Qu, L. Jiao
    Accelerated Genetic Algorithm Based on Search-space Decomposition for Change Detection in Remote Sensing Images.
    Applied Soft Computing, 84, 105727, November 2019, doi: 10.1016/j.asoc.2019.105727, pdf
    
    
37. F. He, T. Chaussalet, R. Qu
    Controlling Understaffing with Conditional Value-at-Risk Constraint for an Integrated Nurse Scheduling Problem under Patient Demand Uncertainty.
    Journal: Operations Research Perspectives, 6, 100119, 2019. doi: 10.1016/j.orp.2019.100119, pdf
    
    
38. C. Mu, J. Zhang, Y. Liu, R. Qu, T. Huang
    Multi-objective ant colony optimization algorithm based on decomposition for community detection in complex networks.
    Soft Computing, 23: 12683-12709, 2019. doi: 10.1007/s00500-019-03820-y, pdf
    
    
39. B. Chen, R. Qu, R. Bai, W. Laesanklang
    A Hyper-heuristic with Guidance Indicators for Bi-objective Mixed-Shift Vehicle Routing Problem with Time Windows
    Applied Intelligence, 48(12): 4937-4959, 2018. doi: doi: 10.1007/s10489-018-1250-y .pdf.
    
    
40. Y. Xu, O. Ding, R. Qu, K. Li
    Hybrid Multi-objective Evolutionary Algorithms based on Decomposition for Wireless Sensor Network Coverage Optimization
    Applied Soft Computing, 68: 268-282, 2018. doi: j.asoc.2018.03.053 .pdf.
    Web of Science Top 10% cited
    
    
41. H. Xing, S. Li, Y. Cui, L. Yan, W. Pan, R. Qu
    A Hybrid EDA for Load Balancing in Multicast with Network Coding
    Applied Soft Computing, 59: 363-377, 2017, doi: j.asoc.2017.06.003 .pdf.
    
    
42. Khin Lwin, Rong Qu, Bart MacCarthy
    Mean-VaR Portfolio Optimization: A Nonparametric Approach
    European Journal of Operational Research, 260(2): 751-766, 2017, doi: 10.1016/j.ejor.2017.01.005 .pdf
    Web of Science Top 10% cited
    
    
43. H. Xing, Z. Wang, T. Li, H. Li, R. Qu
    An Improved MOEA/D Algorithm for Multi-objective Multicast Routing with Network Coding
    Applied Soft Computing, 59: 88-103, 2017, doi: j.asoc.2017.05.033 .pdf
    
    
44. J. Arturo Castillo-Salazar, D. Landa-Silva, R. Qu
    Workforce scheduling and routing problems: literature survey and computational study
    Annals of Operations Research, 239(1): 39-67, 2016. doi: 10.1007/s10479-014-1687-2 .pdf
    Web of Science Top 10% cited
    
    
45. G. Kendall, R. Bai, J Blazewicz, P. De Causmaecker, M Gendreau, R John, J Li, B McCollum, E Pesch, R Qu, N Sabar, G Vanden Berghe, A Yee
    Good Laboratory Practice for Optimization Research
    Journal of the Operational Research Society, 67: 676-689, 2016. doi: 10.1057/jors.2015.77
    Web of Science Top 10% cited
    
    
46. Z. Wang, H. Xing, T. Li, Y.Yang, R. Qu, and Y. Pan
    A Modified Ant Colony Optimization Algorithm for Network Coding Resource Minimization
    IEEE Transactions on Evolutionary Computation, 20(3): 325-342, 2016. doi: 10.1109/TEVC.2015.2457437, .pdf
    Web of Science Top 10% cited
    
    
47. R.L. Pinheiroa, D. Landa-Silvaa, Rong Qu, E Yanagab, and A.A. Constantino.
    An Application Programming Interface with Increased Performance for Optimisation Problems Data.
    Journal of Management Analytics, 3(4): 305-332, 2016, doi: 10.1080/23270012.2016.1233514, pdf
    
    
48. N.R. Sabar, M. Ayob, G. Kendall, R. Qu
    A Dynamic Multiarmed Bandit-Gene Expression Programming Hyper-Heuristic for Combinatorial Optimization Problems
    IEEE Transactions on Cybernetics, 45(2): 217 - 228, 2015. doi: 10.1109/TCYB.2014.2323936 .pdf
    Web of Science Top 10% cited
    
    
49. R. Qu, N. Pham, R. Bai, G. Kendall
    Hybridising Heuristics within an Estimation Distribution Algorithm for Examination Timetabling
    Applied Intelligence, 42(4): 679-693. 2015, doi: 10.1007/s10489-014-0615-0, .pdf
    
    
50. J. Li, R. Bai, Y. Shen, R. Qu
    Search with Evolutionary Ruin and Stochastic Rebuild: a Theoretic Framework and a Case Study on Exam Timetabling
    European Journal of Operational Research, 242(3): 798-806, 2015, doi: 10.1016/j.ejor.2014.11.002 .pdf
    
    
51. N.R. Sabar, M. Ayob, G. Kendall, R. Qu
    The Automatic Design of Hyper-heuristic Framework with Gene Expression Programming
    IEEE Transactions on Evolutionary Computation, 19(3): 309 - 325, 2015. doi: 10.1109/TEVC.2014.2319051 .pdf
    Web of Science Top 10% cited
    
    
52. Y. Wang, L. Sun, R. Qu, G. Li
    Price and Service Competition with Maintenance Service Bundling
    Journal of Systems Science and Systems Engineering, 24(2): 168-189, 2015, doi: 10.1007/s11518-015-5267-z, .pdf
    
    
53. M Luo, G. Li, C.L.J. Wan, R. Qu, P Ji
    Supply chain coordination with dual procurement sources via real-option contract
    Computers & Industrial Engineering, 80: 274-283, 2015, doi: 10.1016/j.cie.2014.12.019,
    
    
54. H. Xing, R. Qu, G. Kendall, R. Bai
    A Path-Oriented Encoding Evolutionary Algorithm for Network Coding Resource Minimization.
    Journal of the Operational Research Society, 65: 1261-1277, 2014. doi: 10.1057/jors.2013.79, .pdf
    Selected as one of the Ten Influential Articles at JORS (accessible in November 2013)
    
    
55. P. Brucker and R. Qu*
    Network Flow Models for Intraday Personnel Scheduling Problems
    Annals of OR, 218(1): 107-114, 2014. doi: 10.1007/s10479-012-1234-y .pdf
    
    
56. H. Xing R. Qu, L. Bai, Y. Ji
    On Minimizing Coding Operations in Network Coding Based Multicast: An Evolutionary Algorithm
    Applied Intelligence, 41(3): 820-836, 2014. doi: 10.1007/s10489-014-0559-4, .pdf
    
    
57. E.K. Burke, R. Qu and A. Soghier
    Adaptive Selection of Heuristics for Improving Exam Timetables
    Annals of OR, 218(1): 129-145, 2014. doi: 10.1007/s10479-012-1140-3 .pdf
    
    
58. F. He, R. Qu
    A Two-Stage Stochastic Mixed-Integer Program Modelling and Hybrid Solution Approach to Portfolio Selection Problems
    Information Sciences, 289, 190-205, 2014. doi: 10.1016/j.ins.2014.08.028, .pdf
    
    
59. K. Lwin, R. Qu, Graham Kendall
    A learning-guided Multi-objective Evolutionary Algorithm for Constrained Portfolio Optimization
    Applied Soft Computing, 24: 757-772, 2014. doi: 10.1016/j.asoc.2014.08.026, .pdf
    Web of Science Top 10% cited
    
    
60. R. Qu, Y. Xu, J. Castro, D. Landa-Silva.
    Particle Swarm Optimization for the Steiner Tree in Graph and Delay-Constrained Multicast Routing Problems.
    Journal of Heuristics, 19(2): 317-342, 2013. doi: 10.1007/s10732-012-9198-2. .pdf
    
    
61. H. Xing, R. Qu
    A Nondominated Sorting Genetic Algorithm for Bi-objective Network Coding Based Multicast Routing Problems.
    Information Sciences. doi: 10.1016/j.ins.2013.01.014 233: 36-53, 2013. .pdf
    
    
62. M. Hadwan, M. Ayob, N.R. Sabar, R. Qu
    A Harmony Search Algorithm for Nurse Rostering Problems.
    Information Sciences, 233: 126-140, 2013. doi: 10.1016/j.ins.2012.12.025 .pdf
    Web of Science Top 10% cited
    
    
63. Y. Xu, R. Qu, R. Li.
    A Simulated Annealing based Genetic Local Search Algorithm for Multi-objective Multicast Routing Problems
    Annals of Operations Research, 260: 527-555, 2013, doi: 10.1007/s10479-013-1322-7 .pdf
    
    
64. E.K. Burke, T. Curtois, R. Qu and G. Vanden Berghe.
    A Time Predefined Variable Depth Search for Nurse Rostering.
    INFORMS Journal on Computing, 25: 411-419, 2013. doi: 10.1287/ijoc.1120.0510
    
    
65. N. R. Sabar, M. Ayob, G. Kendall, and R. Qu
    Grammatical Evolution Hyper-heuristic for Combinatorial Optimization problems.
    IEEE Transactions on Evolutionary Computation, 17(6): 840-861, 2013. doi: 10.1109/tevc.2013.2281527, .pdf
    Web of Science Top 10% cited
    
    
66. K. Lwin, R. Qu
    Hybrid Algorithm for Constrained Portfolio Selection Problem.
    Applied Intelligence, 39(2): 251-266, 2013. doi: 10.1007/s10489-012-0411-7 .pdf
    Web of Science Top 10% cited
    
    
67. E. K. Burke, M. Gendreau, M. Hyde, G. Kendall, G. Ochoa, E. Ozcan, R. Qu
    Hyper-heuristics: A Survey of the State of the Art
    Journal of the Operational Research Society, 64: 1695-1724, 2013, doi: 10.1057/jors.2013.71, pdf.
    Selected as one of the Ten Influential Articles at JORS (accessible in November 2013)
    Web of Science Top 0.1% cited
    
    
68. S.K.N. Abdul Rahim, A. Bargiela, R. Qu
    Domain Transformation Approach to Deterministic Optimization of Examination Timetables.
    Artificial Intelligence Research, 2(1): 122-138, 2013. doi: 10.5430/air.v2n1p122, .pdf
    
    
69. A. Soghier, R. Qu
    Adaptive selection of heuristics for assigning time slots and rooms in exam timetables
    Applied Intelligence, 39(2), 438-450, 2013, doi: 10.1007/s10489-013-0422-z .pdf
    
    
70. F. He and R. Qu
    A Constraint Programming based Column Generation Approach to Nurse Rostering Problems
    Computers & Operations Research, 39(12): 3331-3343, December 2012. doi: 10.1016/j.cor.2012.04.018 .pdf
    
    
71. Y. Xu and R. Qu
    An Iterative Local Search Approach based on Fitness Landscapes Analysis for the Delay-constrained Multicast Routing Problem
    Computer Communications, 35: 352-365, 2012 doi: 10.1016/j.comcom.2011.10.011 .pdf
    
    
72. Y. Xu and R. Qu
    A Hybrid Scatter Search Meta-heuristic for Delay-constrained Multicast Routing Problems
    Applied intelligence, 36(1): 229-241, 2012. doi: 10.1007/s10489-010-0256-x .pdf
    
    
73. J. Li, E.K. Burke, T. Curtois, S. Petrovic and R. Qu.
    The Falling Tide Algorithm: a New Multi-objective Approach for Complex Workforce Scheduling.
    Omega - International Journal of Management Science, 40(3): 283-293 2012. doi: 10.1016/j.omega.2011.05.004 .pdf
    
    
74. N.R. Sabar, M. Ayob, G. Kendall, R. Qu
    A Honey-bee Mating Optimization Algorithm for Educational Timetabling Problems
    European Journal of Operational Research, 216(3), 533-543, 2012. doi: 10.1016/j.ejor.2011.08.006 .pdf
    Web of Science Top 10% cited
    
    
75. E.K. Burke, N. Pham, R. Qu, J. Yellen.
    Linear Combinations of Heuristics for Examination Timetabling.
    Annals of OR, 194(1): 89-109, 2012. doi: 10.1007/s10479-011-0854-y, .pdf
    
    
76. E.K. Burke, J. Li and R. Qu
    A Pareto-Based Search Methodology for Multi-objective Nurse Scheduling
    Annals of OR, 196(1): 91-109 2012. doi: 10.1007/s10479-009-0590-8 .pdf
    
    
77. R. Bai, G. Kendall, R. Qu, J. Atkin.
    Tabu assisted guided local search approaches for freight service network design.
    Information Sciences, 189: 266-281, 2012. doi: 10.1016/j.ins.2011.11.028, .pdf
    
    
78. J. Li, E.K. Burke and R. Qu
    A Pattern Recognition Based Intelligent Search Method: Two Case Studies on the Assignment Problem
    Applied Intelligence, 36(2): 442-453, 2012. doi: 10.1007/s10489-010-0270-z
    
    
79. B. McCollum, P. McMullan, A.J. Parkes, E.K. Burke, R. Qu
    A New Model for Automated Examination Timetabling
    Annals of Operations Research, 194(1): 291-315, 2012. doi: 10.1007/s10479-011-0997-x.
    
    
80. H. Xing and R. Qu
    A Compact Genetic Algorithm for the Network Coding Based Resource Minimization Problem
    Applied Intelligence, 36(4):, 809-823, 2012. doi: 10.1007/s10489-011-0298-8 .pdf
    
    
81. N.R. Sabar, M. Ayob, G. Kendall, R. Qu
    A Graph Coloring Constructive Hyper-Heuristic for Examination Timetabling Problems
    Applied Intelligence, 37(1): 1-11, 2012. doi: 10.1007/s10489-011-0309-9 .pdf
    Web of Science Top 10% cited
    
    
82. B. Ryan, R. Qu, A. Schock, T. Parry
    Integrating human factors and operational research in a multidisciplinary investigation of road maintenance
    Ergonomics, 54(5): 436-452, 2011. doi: 10.1080/00140139.2011.562983 .pdf
    
    
83. P. Brucker, R. Qu*, E.K. Burke
    Personnel Scheduling: Models and Complexity
    European Journal of Operational Research, 210(3): 467-473, 2011. doi: 10.1016/j.ejor.2010.11.017 .pdf
    Web of Science Top 10% cited
    
    
84. H. Xing and R. Qu
    A Population Based Incremental Learning for Network Coding Resources Minimization
    IEEE Communication Letters, 99: 1-3, 2011. doi: 10.1109/LCOMM.2011.051911.110274 .pdf
    
    
85. Y. Xu and R. Qu
    Solving Multi-objective Multicast Routing Problems by Evolutionary Multi-objective Simulated Annealing Algorithms with Variable Neighborhoods
    Journal of Operational Research Society, 62: 313-325, 2010 doi: 10.1057/jors.2010.138 .pdf
    
    
86. J. Li, E.K. Burke and R. Qu
    Integrating Neural Networks and Logistic Regression to Underpin Hyper-heuristic Search
    Knowledge-Based Systems, 24(2): 322-330, 2010. doi: 10.1016/j.knosys.2010.10.004
    
    
87. E.K. Burke, T. Curtois, R. Qu and G. Vanden Berghe
    A Scatter Search Methodology for the Nurse Rostering Problem
    Journal of Operational Research Society, 61: 1667-1679, 2010. doi: 10.1057/jors.2009.118 .pdf
    Web of Science Top 10% cited
    
    
88. E.K. Burke, A. J. Eckersley, B. McCollum, S. Petrovic, R. Qu* (main&corresponding author)
    Hybrid Variable Neighbourhood Approaches to University Exam Timetabling
    European Journal of Operational Research, 206: 46-53, 2010. doi: 10.1016/j.ejor.2010.01.044 .pdf
    Web of Science Top 10% cited
    
    
89. P. Brucker, E.K. Burke, T. Curtois, R. Qu* (main&corresponding author) and G. Vanden Berghe
    A Shift Sequence Based Approach for Nurse Scheduling and a New Benchmark Dataset
    Journal of Heuristics, 16(4): 559-573, 2010. doi: 10.1007/s10732-008-9099-6 .pdf
    Web of Science Top 10% cited
    
    
90. B. McCollum, P. McMullan, B. Paechter, R. Lewis, A. Schaerf, L. Di Gaspero, A. J. Parkes, R. Qu, and E.K. Burke
    Setting the Research Agenda in Automated Timetabling: The Second International Timetabling Competition
    INFORMS Journal of Computing, 22(1): 120-130, 2010. doi: 10.1287/ijoc.1090.0320 .pdf
    Web of Science Top 10% cited
    
    
91. E.K. Burke, J. Li and R. Qu
    A Hybrid Model of Integer Programming and Variable Neighbourhood Search for Highly-Constrained Nurse Rostering Problems
    European Journal of Operational Research, 203(2), 484-493, 2010. doi: 10.1016/j.ejor.2009.07.036, .pdf
    Web of Science Top 10% cited
    
    
92. R. Qu, E.K. Burke, B. McCollum, L.T.G. Merlot, and S.Y. Lee
    A Survey of Search Methodologies and Automated System Development for Examination Timetabling
    Journal of Scheduling, 12(1): 55-89, 2009. doi: 10.1007/s10951-008-0077-5 .pdf
    Online bibliography on exam timetabling 1995-2009
    Web of Science Top 1% cited
    
    
93. R. Qu and E.K. Burke
    Hybridizations within a Graph-based Hyper-heuristic Framework for University Timetabling Problems
    Journal of Operational Research Society, 60: 1273-1285, 2009. doi: 10.1057/jors.2008.102 .pdf
    Web of Science Top 10% cited; Top 5 highly cited paper at JORS 2009/2010 (Dec 2011).
    
    
94. R. Qu E.K. Burke and B.McCollum
    Adaptive Automated Construction of Hybrid Heuristics for Exam Timetabling and Graph Colouring Problems
    European Journal of Operational Research, 198(2): 392-404, 2009 doi: 10.1016/j.ejor.2008.10.001 .pdf
    Web of Science Top 10% cited
    
    
95. E.K. Burke, T.E. Curtois, G. Post, R. Qu and B. Veltman
    A Hybrid Heuristic Ordering and Variable Neighbourhood Search for the Nurse Rostering Problem
    European Journal of Operational Research, 188(2), 330-341, 2008. doi: 10.1016/j.ejor.2007.04.030, .pdf
    Web of Science Top 10% cited
    
    
96. E.K. Burke, B. McCollum, A. Meisels, S. Petrovic, R. Qu*(main&corresponding author)
    A Graph-Based Hyper-Heuristic for Educational Timetabling Problems
    European Journal of Operational Research, 176: 177-192, 2007. doi: 10.1016/j.ejor.2005.08.012, .pdf
    Web of Science Top 0.1% cited (accessible in 2017); Top Cited Article EJOR 2007-2011, Award.
    
    
97. E.K. Burke, S. Petrovic, R. Qu*(main&corresponding author)
    Case-Based Heuristic Selection for Timetabling Problems
    Journal of Scheduling, 9: 115-132, 2006. doi: 10.1007/s10951-006-6775-y, .pdf
    Web of Science Top 1% cited (accessible in 2016)
    
    
98. E.K. Burke, B. MacCarthy, S. Petrovic, R. Qu*(main&corresponding author)
    Multiple-Retrieval Case-Based Reasoning for Course Timetabling Problems
    Journal of Operations Research Society, 57(2): 148-162, 2006. doi: 10.1057/palgrave.jors.2601970 .pdf
    Web of Science Top 10% cited (accessible in 2016)
    
    
99. E.K. Burke, B. MacCarthy, S. Petrovic, R. Qu*(main&corresponding author)
    Structured Cases in Case-Based Reasoning - Re-using and Adapting Cases for Time-tabling Problems
    Knowledge-Based Systems, 13(2-3): 159-165, 2000. doi: 10.1016/S0950-7051(00)00057-5. .pdf
    Web of Science Top 10% cited (accessible in 2010)
    
    

Book chapters:

1. R. Qu
   "Recent Developments of Automated Machine Learning and Search Techniques"
   Chapter 1, N. Pillay, R. Qu (eds.) Automated Machine Learning and Search Algorithms, Springer Natural Computing Series, July 2021. .pdf
   
   
2. R. Qu
   "A General Model for Automated Algorithm Design"
   Chapter 3, N. Pillay, R. Qu (eds.) Automated Machine Learning and Search Algorithms, Springer Natural Computing Series, July 2021. .pdf
   
   
3. E.K. Burke, M. Dror, S. Petrovic, R. Qu*(main&corresponding author)
   "Hybrid Graph Heuristics within a Hyper-heuristic Approach to Exam Timetabling Problems". B.L. Golden, S. Raghavan and E.A. Wasil (eds.). The Next Wave in Computing, Optimization, and Decision Technologies. Springer. Jan 2005. .pdf
   Web of Science Top 10% cited (Dec 2011)
   
   

Selected refereed conference papers:

1. W Yi, X Chen, R Bai, R. Qu, Y Jin
   "A Hierarchical Cooperative Genetic Programming for Complex Piecewise Symbolic Regression"
   GECCO'2024, Jun 2024. .pdf
   
   
2. W Meng, R Qu
   "Sequential Rule Mining for Automated Design of Meta-heuristics"
   GECCO'2023, 15-29, July 2023. .pdf
   
   
3. X Du, R Bai, T Cui, R Qu, J Li
   "An Improved Ant Colony Approach for the Competitive Traveling Salesmen Problem"
   CEC'2022, 18-23 July 2022. .pdf
   
   
4. X Chen, R Bai, R Qu, H Dong
   "A Data-Driven Genetic Programming Heuristic for Real-World Dynamic Seaport Container Terminal Truck Dispatching"
   CEC'2020, July 2020. .pdf
   
   
5. J Clos, R Qu, J. Atkin
   "Informaiton Retrieval for Evidence-Based Policy Making Applied to Lifelong Learning"
   Springer Lecture Notes on Computer Science, December 2019. .pdf
   
   
6. F. He, T. Chaussalet, R. Qu
   "Modelling the home health care nurse scheduling problem for patients with long-term conditions in the UK"
   2019 Proceedings - European Council for Modelling and Simulation, ECMS, 33(1), pp. 317-323. .pdf
   
   
7. M.Z. Yu, X.W. Cong, B. Niu, Qu R.
   "Iteration-related Various Learning Particle Swarm Optimization for Quay Crane Scheduling Problem"
   The 13th International Conference on Bio-inspired Computing: Theories and Applications (BICTA), 18-20 September 2018. Springer Communications in Computer and Information Science Series .pdf
   
   
8. M.Z. Yu, Z.C. Chen, L. Chen, Qu R., B. Niu
   "Modified Mixed-dimension Chaotic Particle Swarm Optimization for Liner Route Planning with Empty Container Repositioning"
   The 13th International Conference on Bio-inspired Computing: Theories and Applications (BICTA), 18-20 September 2018. Springer Communications in Computer and Information Science Series .pdf
   
   
9. B Chen, R Qu and H. Ishibuchi
   "Variable Depth Aadaptive Large Neighborhood Search Algorithm for Open Periodic Vehicle Routing Problem with Time Windows"
   The 19th International Conference on Harbor, Maritime & Multimodal Logistics Modelling and Simulation (HMS'2017), 18-20 September 2017. .pdf
   
   
10. Q. He, X Meng, R Qu
    "A Survey on Cyber Security of CAV"
    2017 Forum on Cooperative Positioning and Service (CPGPS17), 19 May - 21 May 2017, Harbin, China. .pdf
    
    
11. C Mu, H Cheng, W Feng, Y Liu and R Qu
    "Information Core Optimization Using Evolutionary Algorithm with Elite Population in Recommender Systems"
    The 2017 IEEE Congress on Evolutionary Computation (CEC2017), 5-8 June 2017, Donostia, Spain. .pdf
    
    
12. C Mu, C Li, Y Liu, M Sun, L Jiao and R Qu
    "Change Detection in SAR Images Based on the Salient Map Guidance and an Accelerated Genetic Algorithm"
    The 2017 IEEE Congress on Evolutionary Computation (CEC2017), 5-8 June 2017, Donostia, Spain. .pdf
    
    
13. J Chen, R Bai, H Dong, R Qu and G Kendall
    "A Dynamic Truck Dispatching Problem in Marine Container Terminal"
    The 2016 Symposium on Computational Intelligence in Scheduling and Network Design (IEEE CISND'16) (CISND'16), December 6-9, 2016. .pdf
    
    
14. Huanlai Xing, Ying Xu, R. Qu, and Lexi Xu
    "A PBIL for Load Balancing in Network Coding Based Multicasting"
    The 17th International Conference on Computational Science and Its Applications (ICCSA 2016), Part II, LNCS 9787, pp. 34-44, 2016. .pdf
    
    
15. F. He, R Qu
    "Hybridising Local Search with Branch-and-Bound for Cnonstrained Portfolio Selection Problems"
    Accepted by The 30th EUROPEAN Conference on Modelling and Simulation (ECMS'16), May 31st - June 3rd, 2016, Regensburg, Germany .pdf
    
    
16. RL Pinheiro, D Landa-Silva, R Qu, E Yanaga and A Aparecido
    "Towards an Efficient API for Optimisation Problems Data Avoiding the Drawback of Relying on Built-in Garbage Collectors"
    Accepted by The 18th International Conference on Enterprise Information Systems (ICEIS'16), 23-28 April 2016 .pdf
    
    
17. Binhui Chen, Rong Qu, Ruibin Bai and Hisao Ishibuchi
    "A Variable Neighbourhood Search Algorithm with Compound Neighbourhoods for VRPTW"
    The 2016 International Conference on Operations Research and Enterprise Systems (ICORES'16), 23-25 Feb 2016 .pdf
    
    
18. Binhui Chen, Rong Qu, Ruibin Bai and Hisao Ishibuchi
    "An Investigation on Compound Neighborhoods for VRPTW"
    Operations Research and Enterprise Systems (ICORES'16 Revised Papers), pp 3-19, Springer, March 2017.
    
    
19. Yan Jin, Rong Qu, Jason Atkin
    "Constrained Portfolio Optimisation: the state-of-the-art Markowitz Models"
    The 2016 International Conference on Operations Research and Enterprise Systems (ICORES'16), 23-25 Feb 2016 .pdf
    
    
20. Xing H, Qu R, Xu L, and Qu Z.
    "A quantum inspired evolutionary algorithm for dynamic multicast routing with network coding"
    In Proc. 16th IEEE International Symposium on Communications and Information Technologies (ISCIT 2016), Qingdao, China, 2016 .pdf
    
    
21. Z. Wang, H. Xing, T. Li, Y. Yang, R. Qu
    "An Improved MOEA/D for QoS Oriented Multimedia Multicasting with Network Coding"
    8th International Conference on Mobile Multimedia Communications (MOBIMEDIA 2015), May 25-27, 2015 Chengdu, China. .pdf
    
    
22. T. Cui, R. Bai, A.J. Parkes, F. He, R. Qu, J. Li
    "A Hybrid Genetic Algorithm for a Two-Stage Stochastic Portfolio Optimization With Uncertain Asset Prices"
    The 2015 IEEE Congress on Evolutionary Computation (CEC'2015), May 25-28, 2015, Sendai, Japan. .pdf
    
    
23. Siti Khatijah Nor Abdul Rahim, Andrzej Bargiela, Rong Qu
    "Solving the Randomly Generated University Examination Timetabling Problem Through Domain Transformation Approach (DTA)"
    Proceedings of the International Conference on Computing, Mathematics and Statistics (iCMS 2015), pp 75-83. .pdf
    
    
24. F. He R. Qu, and R. John
    "A Compromise Based Fuzzy Goal Programming Approach for Multi-objective Portfolio Optimisation".
    29th European Conference on Modelling and Simulation (ECMS 2015), May 26th - 29th 2015, Albena, Bulgaria. .pdf
    
    
25. G. Baskaran, A. Bargiela, R. Qu
    "Domain Transformation in Nurse Scheduling"
    Gold Medal at National Innovation and Invention Competition Through Exhibition 2015 (iCompEx'15), 24-26 March, 2015, POLIMAS, Malaysia.
    
    
26. G. Baskaran, A. Bargiela, R.g Qu
    "Domain Transformation in Nurse Scheduling"
    International Conference on Artificial Intelligence, Energy and Manufacturing Engineering (ICAEME'2015), 7-8, Jan 2015, Dubai, UAE. .pdf
    
    
27. Y. Jin, R. Qu, J. Atkin
    "A Population-based Incremental Learning Method for Constrained Portfolio Optimisation"
    The 11th Workshop on Natural Computing and Applications at (SYNASC'14), Romania, September 22-25 2014. .pdf
    
    
28. E. Kent, J. Atkin, R. Qu
    "Vehicle Routing in a Forestry Commissioning Operation using Ant Colony Optimisation"
    The 3rd International Conference on the Theory and Practice of Natural Computing (TPNC'14), Granada, Spain, December 9-11, 2014. .pdf
    
    
29. J. Arturo Castillo-Salazar, Dario Landa-Silva, Rong Qu
    "Computational Study for Workforce Scheduling and Routing Problems"
    The 3rd International Conference on Operations Research and Enterprise Systems (ICORES 2014), pp. 434-444, Angers France, March 2014. .pdf
    
    
30. Khin Lwin, Rong Qu, Jianhua Zheng
    "Multi-objective Scatter Search with External Archive for Portfolio Optimization"
    The 6th International Conference on Evolutionary Computation Theory and Applications (ECTA 2013), 20-22 September, Algarve, Portugal. .pdf
    
    
31. Jianjun Chen, Ruibin Bai, Rong Qu, Graham Kendall
    "A Task Based Approach for A Real-World Commodity Routing Problem"
    2013 IEEE Symposium Series on Computational Intelligence (SCCI 2013), 16-19 April, Singapore. .pdf
    
    
32. Geetha Baskaran, Andrzej Bargiela, Rong Qu
    "A Study of Cost Effective Scheduling of Nurses Based on the Domain Transformation Method"
    The 27th European Conference on Modeling and Simulation (ECMS'13), May 27th - 30st, 2013, Alesund, Norway. .pdf
    
    
33. J. A. Castillo-Salazar, D. Landa-Silva, and R. Qu
    "A Survey on Workforce Scheduling and Routing Problems".
    The 9th International Conference on the Practice and Theory of Automated Timetabling (PATAT 2012), 28-31 August 2012, Son, Norway. .pdf
    
    
34. J. Li, R. Qu, and Y. Shen
    "Evolutionary Ruin and Stochastic Recreate: a Case Study on the Exam Timetabling Problem".
    26th European Conference on Modelling and Simulation (ECMS 2012), 29 May - 1 June 2012, Koblenz, Germany. .pdf
    
    
35. H. Xing and R. Qu
    "A Population Based Incremental Learning for Delay Constrained Network Coding Resource Minimization"
    The 8th European Event on the Application of Nature-inspired Techniques for Telecommunication Networks (EvoCOMNET'11) pp. 51-60, at EvoStar'2011, 27-29 April 2011, Torino, Italy. .pdf
    
    
36. Burke, E.K. and Qu, R. and Soghier, A.
    "An Adaptive Tie Breaking and Hybridisation Hyper-Heuristic for Exam Timetabling Problems"
    Nature Inspired Cooperative Strategies for Optimization (NICSO 2011). D.A. Pelta et al. (eds.), pp. 205-223 .pdf
    
    
37. P. Brucker and R. Qu
    "Network Flow Models for Intraday Personnel Scheduling Problems"
    The 8th International Conference on the Practice and Theory of Automated Timetabling (PATAT 2010), 10-13 August 2010, Belfast, Northern Ireland. .pdf
    
    
38. E.K. Burke, R. Qu and A. Soghier
    "Adaptive Selection of Heuristics for Improving Constructed Exam Timetables"
    The 8th International Conference on the Practice and Theory of Automated Timetabling (PATAT 2010), 10-13 August 2010, Belfast, Northern Ireland. .pdf
    
    
39. F. He and R. Qu
    "Constraint-directed Local Search to Nurse Rostering Problems"
    6th International Workshop on Local Search Techniques in Constraint Satisfaction (LSCS 2009), CP'09, 20 September 2009, Lisbon, Portugal. .pdf
    
    
40. R. Qu, F. He and E.K. Burke
    "Hybridizing Integer Programming Models with an Adaptive Decomposition Approach for Exam Timetabling Problems"
    The 4th Multidisciplinary International Scheduling: Theory and Applications 2009 (MISTA 2009), pp. 435-446, 10-12 August 2009, Dublin, Ireland. .pdf
    
    
41. Y. Xu and R. Qu
    "A GRASP approach for the delay-constrained multicast routing problem"
    he 4th Multidisciplinary International Scheduling: Theory and Applications 2009 (MISTA 2009), pp. 93-104, 10-12 August 2009, Dublin, Ireland. .pdf
    
    
42. E.K. Burke, R. Qu and A. Soghier
    "Adaptive Selection of Heuristics within a GRASP for Exam Timetabling Problems"
    The 4th Multidisciplinary International Scheduling: Theory and Applications 2009 (MISTA 2009), pp. 409-423, 10-12 August 2009, Dublin, Ireland. .pdf
    
    
43. G. Ochoa, R. Qu and E.K. Burke
    "Analyzing the Landscape of a Graph Based Hyper-heuristic for Timetabling Problems"
    The Genetic and Evolutionary Computation Conference (GECCO'09), pp. 341-348, 8-12 July, Montreal, Canada, .pdf
    
    
44. G. Baskaran, A. Bargiela and R. Qu
    "Hierarchical Method for Nurse Rostering based on Granular Pre-processing of Constraints"
    The 23rd EUROPEAN Conference on Modelling and Simulation, 9-12 June 2009, Madrid, Spain. .pdf
    
    
45. S. Khatijah Nor Abdul Rahim, A. Bargiela, Rong Qu
    "Granular Modelling of Exam to Slot Allocation",
    The 23rd EUROPEAN Conference on Modelling and Simulation, 9-12 June 2009, Madrid, Spain. .pdf
    
    
46. R. Qu, F. He
    "A Hybrid Constraint Programming Approach for Nurse Rostering Problems"
    Allen T., Ellis R. and Petridis M. (eds.) Applications and Innovations in Intelligent Systems XVI. The Twenty-eighth SGAI International Conference on Artificial Intelligence (AI-2008), pp. 211-224, Cambridge, England, 9-11 December 2008. .pdf
    
    
47. R. Qu, Y. Xu, G. Kendall
    "A Variable Descent Search Algorithm for Delay-Constrained Least-Cost Multicast Routing"
    Lecture Notes in Computer Science 5851, pp. 15-29, Learning and Intelligent OptimizatioN (LION 3), Trento, Italy, Jan 14-18, 2009. LION3 online publication. .pdf
    
    
48. N.R. Sabar, M. Ayob, G. Kendall and R. Qu
    "Roulette wheel graph colouring for solving examination timetabling problems". The 3rd Annual International Conference on Combinatorial Optimization and Applications (COCOA'09), Lecture Notes in Computer Science 5573, pp. 463-470. .pdf
    
    
49. J.R. Carrington, N. Pham, R. Qu, J. Yellen
    "An Enhanced Weighted Graph Model for Examination / Course Timetabling"
    Proceedings of 26th Workshop of the UK Planning and Scheduling Special Interest Group 2007 (PlanSIG 2007), 9-16, Prague, Czech Republic, Dec, 2007. .pdf
    
    
50. R. Qu and E.K. Burke
    "Adaptive Decomposition and Construction for Examination Timetabling Problems"
    Proceedings of the 3rd Multidisciplinary International Scheduling: Theory and Applications 2007 (MISTA 2007), pp. 418-425, Aug, 2007, Paris, France. .pdf
    
    
51. S. Abdullah, U. Aickelin, E.K. Burke, A. Mohamed Din and R. Qu
    "Investigating a Hybrid Metaheuristic for Job Shop Rescheduling"
    Lecture Notes in Artificial Intelligence 4828, pp. 357-368, 2007. .pdf
    
    
52. M. Ayob, A. Malik, S. Abdullah, A.R. Hamdan, G. Kendall and R. Qu
    "Solving a Practical Examination Timetabling Problem: A Case Study"
    In: O. Gervasi and M. Gavrilova (Eds.): Lecture Notes in Computer Science 4707, Part III, pp. 611-624, 2007. .pdf
    
    
53. R. Qu and E.K. Burke
    "Hybrid Variable Neighbourhood Hyper-heuristics for Exam Timetabling Problems"
    Proceedings of Metaheuristic International Conference 2005 (MIC 2005), Vienna, Austria, Aug 2005. (Note: there are updated results of this paper, which are different from the published ones. Please refer to the paper at this web page for the latest results.) .pdf
    
    
54. P. Brucker, R. Qu, E.K. Burke and G. Post
    "A Decomposition, Construction and Post-processing Approach for a Specific Nurse Rostering Problem"
    Proceedings of the 2nd Multidisciplinary International Scheduling: Theory and Applications 2005 (MISTA 2005), pp. 397-406. New York, USA, Jul 2005. .pdf
    
    
55. E.K. Burke, A. J. Eckersley, B. McCollum, S. Petrovic and R. Qu
    "Analysing Similarity in Exam Timetabling"
    Proceedings of the 5th International Series of Conferences on the Practice and Theory of Automated Timetabling 2004 (PATAT 2004), pp. 89-106. Pittsburgh, USA, Aug 2004. .pdf
    
    
56. E.K. Burke, A. Eckersley, B. McCollum, S. Petrovic, R. Qu
    "Using Simulated Annealing to Study Behaviour of Various Exam Timetabling Data Sets"
    Proceedings of Metaheuristic International Conference 2003 (MIC 2003), Kyoto, Japan, Aug 2003. .pdf
    
    
57. E.K. Burke, A. Eckersley, B. McCollum, S. Petrovic, R. Qu
    "Similarity Measures for Exam Timetabling Problems"
    Proceedings of the 1st Multidisciplinary International Scheduling: Theory and Applications 2003 (MISTA 2003), pp. 120-136. Nottingham, UK, Aug 2003. .pdf
    
    
58. E.K. Burke, S. Petrovic, R. Qu*(main&corresponding author)
    "Case-Based Heuristic Selection for Examination Timetabling"
    Proceedings of Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 277-281. Singapore, Nov, 2002. data set .pdf
    
    
59. E.K. Burke, B. MacCarthy, S. Petrovic, R. Qu*(main&corresponding author)
    "Knowledge Discovery in Hyper-heuristic Using Case-Based Reasoning on Course Timetabling"
    Lecture Notes in Computer Science 2740, pp. 276-287, 2003. Also available in the Proceedings of PATAT'02, 90-103. Aug, 2002. .pdf
    
    
60. S. Petrovic, R. Qu*(main&corresponding author)
    "Case-Based Reasoning as a Heuristic Selector in a Hyper-Heuristic for Course Timetabling Problems"
    Knowledge-Based Intelligent Information Engineering Systems and Allied Technologies, Volume 82, pp. 336-340. IOS Press. .pdf
    
    
61. E.K. Burke, B. MacCarthy, S. Petrovic, R. Qu*(main&corresponding author)
    "Case-based Reasoning in Course Timetabling: An Attribute Graph Approach"
    Case-Based Reasoning Research and Development, Lecture Notes in Artificial Intelligence 2080, pp. 90-104, 2001. .pdf
    
    
62. E.K. Burke, B. MacCarthy, S. Petrovic, R. Qu*(main&corresponding author)
    "Structured Cases in Case-Based Reasoning - Re-using and Adapting Cases for Time-tabling Problems"
    Proceedings of Expert Systsms 1999 (ES99), awarded as one of the six best technical papers. .pdf
    
    

Theses

• PhD Thesis. "Case-Based Reasoning on for Course Timetabling Problems". University of Nottingham, Oct, 2002.
• BSc Thesis. "Development of the Communication Control for a BBS-98 Distributed System". Jul, 1996. XiDian University, P. R. China
  
  

Others

• IEEE CIS Live Webinar: Selection Hyper-Heuristics for Automated Design, Configuration and Selection, April 2022
• Seminars GCOP, NRP
• Masaryk Recent Developments on Combinatorial Optimisation Problems
• China visit courses research
• A number of School of CS technical report can be found here
• Benchmark problems site:
• portfolio optimization, IndexTracking
• 1, 2, 3, 4, 5. NATCOR-GHH, NATCOR-LS
• The Second International Timetabling Competition: Examination Timetabling Track
• Exam Timetabling Resources: a Bibliography on Exam Timetabling, (1995 - now) and Becnhmark Exam Timetabling Datasets.
• Capital Budgeting Resources: a Bibliography on meta-heuristics in capital budgeting and Becnhmark Datasets