Rong Qu's Publications

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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)

Haofan Wang, Li Chen, Xingxing Hao, Rong Qu, Wei Zhou, Dekui Wang, Wei Liu
Learning-guided cross-sampling for large-scale evolutionary multi-objective optimization.
Swarm and Evolutionary Computation, 91, 2024, 101763, pdf, doi: 10.1016/j.swevo.2024.101763
Xinan Chen, Rong Qu, Jing Dong, Haibo Dong, Ruibin Bai
Advancing Container Port Traffic Simulation: A Data-Driven Machine Learning Approach in Sparse Data Environments.
Applied Soft Computing, 166, November 2024, 112190, pdf, doi: 10.1016/j.asoc.2024.112190.
X Chen, R Bai, R Qu, J Dong, Y Jin
Deep Reinforcement 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.
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.
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: 10.1109/TCDS.2024.3370219, 2024.
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.
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.
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.
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.
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.
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.
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
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.
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.
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
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
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
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
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
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.
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.
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
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
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
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
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.
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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.
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
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.
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
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
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
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
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
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
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
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
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
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
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
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,
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)
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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).
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
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 poster
Web of Science Top 10% cited
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.
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)
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)
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:

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
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
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:

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
W Meng, R Qu
"Sequential Rule Mining for Automated Design of Meta-heuristics"
GECCO'2023, 15-29, July 2023. .pdf
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 General Combinatorial Optimisation Problem, Automated Nurse Rostering, Recent Developments on Combinatorial Optimisation Problems
1, 2, 3, 4, 5. NATCOR - Graph based Hyper-heuristics, NATCOR-LS