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2020 – today
- 2024
[j101]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. Appl. Soft Comput. 166: 112190 (2024)- [j100]Jiahuan Jin, Tianxiang Cui, Ruibin Bai, Rong Qu:
Container port truck dispatching optimization using Real2Sim based deep reinforcement learning. Eur. J. Oper. Res. 315(1): 161-175 (2024) - [j99]Weiyao Meng, Rong Qu:
Automated design of local search algorithms: Predicting algorithmic components with LSTM. Expert Syst. Appl. 237(Part A): 121431 (2024) - [j98]Bingchen Lin, Jiawei Li, Tianxiang Cui, Huan Jin, Ruibin Bai, Rong Qu, Jon Garibaldi:
A pattern-based algorithm with fuzzy logic bin selector for online bin packing problem. Expert Syst. Appl. 249: 123515 (2024) - [j97]Zhiwen Xiao, Huanlai Xing, Rong Qu, Hui Li, Li Feng, Bowen Zhao, Jiayi Yang:
Self-Bidirectional Decoupled Distillation for Time Series Classification. IEEE Trans. Artif. Intell. 5(8): 4101-4110 (2024) - [j96]Zhiwen Xiao, Xin Xu, Huanlai Xing, Bowen Zhao, Xinhan Wang, Fuhong Song, Rong Qu, Li Feng:
DTCM: Deep Transformer Capsule Mutual Distillation for Multivariate Time Series Classification. IEEE Trans. Cogn. Dev. Syst. 16(4): 1445-1461 (2024) - [j95]Zhiwen Xiao, Huanlai Xing, Bowen Zhao, Rong Qu, Shouxi Luo, Penglin Dai, Ke Li, Zonghai Zhu:
Deep Contrastive Representation Learning With Self-Distillation. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 3-15 (2024) - [j94]Zhiwen Xiao, Huanlai Xing, Rong Qu, Li Feng, Shouxi Luo, Penglin Dai, Bowen Zhao, Yuanshun Dai:
Densely Knowledge-Aware Network for Multivariate Time Series Classification. IEEE Trans. Syst. Man Cybern. Syst. 54(4): 2192-2204 (2024) - [c52]Xinan Chen, Wenjie Yi, Ruibin Bai, Rong Qu, Yaochu Jin:
A Hierarchical Cooperative Genetic Programming for Complex Piecewise Symbolic Regression. CEC 2024: 1-8 - [c51]Weiyao Meng, Rong Qu, Nelishia Pillay:
Machine Learning for Evolutionary Computation - the Vehicle Routing Problems Competition. GECCO Companion 2024: 13-14 - [i5]Qing Xu, Jiaxuan Li, Xiangjian He, Ziyu Liu, Zhen Chen, Wenting Duan, Chenxin Li, Maggie M. He, Fiseha B. Tesema, Wooi P. Cheah, Yi Wang, Rong Qu, Jonathan M. Garibaldi:
ESP-MedSAM: Efficient Self-Prompting SAM for Universal Domain-Generalized Medical Image Segmentation. CoRR abs/2407.14153 (2024) - 2023
- [j93]Ying Xu, Huan Zhang, Lei Huang, Rong Qu, Yusuke Nojima:
A Pareto Front grid guided multi-objective evolutionary algorithm. Appl. Soft Comput. 136: 110095 (2023) - [j92]Marco S. Nobile, Luca Manzoni, Daniel A. Ashlock, Rong Qu:
Models of Representation in Computational Intelligence [Guest Editorial]. IEEE Comput. Intell. Mag. 18(1): 20-21 (2023) - [j91]Wenjie Yi, Rong Qu, Licheng Jiao:
Automated algorithm design using proximal policy optimisation with identified features. Expert Syst. Appl. 216: 119461 (2023) - [j90]Wenjie Yi, Rong Qu:
Automated design of search algorithms based on reinforcement learning. Inf. Sci. 649: 119639 (2023) - [j89]Xiaotong Li, Licheng Jiao, Hao Zhu, Fang Liu, Shuyuan Yang, Xiangrong Zhang, Shuang Wang, Rong Qu:
A Collaborative Learning Tracking Network for Remote Sensing Videos. IEEE Trans. Cybern. 53(3): 1954-1967 (2023) - [j88]Uwe Aickelin, Hadi Akbarzadeh Khorshidi, Rong Qu, Hadi Charkhgard:
Guest Editorial Special Issue on Multiobjective Evolutionary Optimization in Machine Learning. IEEE Trans. Evol. Comput. 27(4): 746-748 (2023) - [j87]Wenjie Yi, Rong Qu, Licheng Jiao, Ben Niu:
Automated Design of Metaheuristics Using Reinforcement Learning Within a Novel General Search Framework. IEEE Trans. Evol. Comput. 27(4): 1072-1084 (2023) - [j86]Xinan Chen, Ruibin Bai, Rong Qu, Haibo Dong:
Cooperative Double-Layer Genetic Programming Hyper-Heuristic for Online Container Terminal Truck Dispatching. IEEE Trans. Evol. Comput. 27(5): 1220-1234 (2023) - [c50]Xinan Chen, Jing Dong, Rong Qu, Ruibin Bai:
Transformer Surrogate Genetic Programming for Dynamic Container Port Truck Dispatching. BIC-TA (1) 2023: 276-290 - [c49]Weiyao Meng, Rong Qu:
Sequential Rule Mining for Automated Design of Meta-heuristics. GECCO Companion 2023: 1727-1735 - [c48]Xinan Chen, Feiyang Bao, Rong Qu, Jing Dong, Ruibin Bai:
Neural Network Assisted Genetic Programming in Dynamic Container Port Truck Dispatching. ITSC 2023: 2246-2251 - [c47]Rong Qu, Jiangang Huang, Long Zhang, Tianlu Qiao, Jian Zhang:
Scope-based Compiler Differential Testing. QRS 2023: 360-369 - 2022
- [j85]Yuchang Zhang, Ruibin Bai, Rong Qu, Chaofan Tu, Jiahuan Jin:
A deep reinforcement learning based hyper-heuristic for combinatorial optimisation with uncertainties. Eur. J. Oper. Res. 300(2): 418-427 (2022) - [j84]Mengqi Chen, Rong Qu, Weiguo Fang:
Case-based reasoning system for fault diagnosis of aero-engines. Expert Syst. Appl. 202: 117350 (2022) - [j83]Huifen Zhong, Zhaotong Lian, Bowen Xue, Ben Niu, Rong Qu, Tianwei Zhou:
An integrated container terminal scheduling problem with different-berth sizes via multiobjective hydrologic cycle optimization. Int. J. Intell. Syst. 37(12): 11909-11925 (2022) - [j82]Huanlai Xing, Jing Zhu, Rong Qu, Penglin Dai, Shouxi Luo, Muhammad Azhar Iqbal:
An ACO for energy-efficient and traffic-aware virtual machine placement in cloud computing. Swarm Evol. Comput. 68: 101012 (2022) - [j81]Bingchen Lin, Jiawei Li, Ruibin Bai, Rong Qu, Tianxiang Cui, Huan Jin:
Identify Patterns in Online Bin Packing Problem: An Adaptive Pattern-Based Algorithm. Symmetry 14(7): 1301 (2022) - [j80]Yuwei Guo, Licheng Jiao, Rong Qu, Zhuangzhuang Sun, Shuang Wang, Shuo Wang, Fang Liu:
Adaptive Fuzzy Learning Superpixel Representation for PolSAR Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [j79]Huanlai Xing, Zhiwen Xiao, Rong Qu, Zonghai Zhu, Bowen Zhao:
An Efficient Federated Distillation Learning System for Multitask Time Series Classification. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - [c46]Xinyang Du, Ruibin Bai, Tianxiang Cui, Rong Qu, Jiawei Li:
An Improved Ant Colony Approach for the Competitive Traveling Salesmen Problem. CEC 2022: 1-5 - [i4]Huanlai Xing, Zhiwen Xiao, Rong Qu, Zonghai Zhu, Bowen Zhao:
An Efficient Federated Distillation Learning System for Multi-task Time Series Classification. CoRR abs/2201.00011 (2022) - 2021
- [j78]Ning Xue, Ruibin Bai, Rong Qu, Uwe Aickelin:
A hybrid pricing and cutting approach for the multi-shift full truckload vehicle routing problem. Eur. J. Oper. Res. 292(2): 500-514 (2021) - [j77]Weiyao Meng, Rong Qu:
Automated design of search algorithms: Learning on algorithmic components. Expert Syst. Appl. 185: 115493 (2021) - [j76]Nelishia Pillay, Rong Qu:
Assessing hyper-heuristic performance. J. Oper. Res. Soc. 72(11): 2503-2516 (2021) - [j75]Hugo Jair Escalante, Quanming Yao, Wei-Wei Tu, Nelishia Pillay, Rong Qu, Yang Yu, Neil Houlsby:
Guest Editorial: Automated Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 2887-2890 (2021) - [j74]Xingxing Hao, Rong Qu, Jing Liu:
A Unified Framework of Graph-Based Evolutionary Multitasking Hyper-Heuristic. IEEE Trans. Evol. Comput. 25(1): 35-47 (2021) - [c45]Zhiwen Xiao, Xin Xu, Huanlai Xing, Rong Qu, Fuhong Song, Bowen Zhao:
RNTS: Robust Neural Temporal Search for Time Series Classification. IJCNN 2021: 1-8 - [p2]Rong Qu:
Recent Developments of Automated Machine Learning and Search Techniques. Automated Design of Machine Learning and Search Algorithms 2021: 1-9 - [p1]Rong Qu:
A General Model for Automated Algorithm Design. Automated Design of Machine Learning and Search Algorithms 2021: 29-43 - [e1]Nelishia Pillay, Rong Qu:
Automated Design of Machine Learning and Search Algorithms. Natural Computing Series, Springer 2021, ISBN 978-3-030-72068-1 [contents] - 2020
- [j73]Rong Qu, Graham Kendall, Nelishia Pillay:
The General Combinatorial Optimization Problem: Towards Automated Algorithm Design. IEEE Comput. Intell. Mag. 15(2): 14-23 (2020) - [j72]Fuhong Song, Huanlai Xing, Shouxi Luo, Dawei Zhan, Penglin Dai, Rong Qu:
A Multiobjective Computation Offloading Algorithm for Mobile-Edge Computing. IEEE Internet Things J. 7(9): 8780-8799 (2020) - [j71]Binhui Chen, Rong Qu, Ruibin Bai, Wasakorn Laesanklang:
A variable neighborhood search algorithm with reinforcement learning for a real-life periodic vehicle routing problem with time windows and open routes. RAIRO Oper. Res. 54(5): 1467-1494 (2020) - [j70]Yuwei Guo, Zhuangzhuang Sun, Rong Qu, Licheng Jiao, Fang Liu, Xiangrong Zhang:
Fuzzy Superpixels Based Semi-Supervised Similarity-Constrained CNN for PolSAR Image Classification. Remote. Sens. 12(10): 1694 (2020) - [j69]Tianxiang Cui, Ruibin Bai, Shusheng Ding, Andrew J. Parkes, Rong Qu, Fang He, Jingpeng Li:
A hybrid combinatorial approach to a two-stage stochastic portfolio optimization model with uncertain asset prices. Soft Comput. 24(4): 2809-2831 (2020) - [c44]Xinan Chen, Ruibin Bai, Rong Qu, Haibo Dong, Jianjun Chen:
A Data-Driven Genetic Programming Heuristic for Real-World Dynamic Seaport Container Terminal Truck Dispatching. CEC 2020: 1-8 - [c43]Rundong Li, Hongliang Liang, Liming Liu, Xutong Ma, Rong Qu, Jun Yan, Jian Zhang:
GTFuzz: Guard Token Directed Grey-Box Fuzzing. PRDC 2020: 160-170 - [i3]Ning Xue, Ruibin Bai, Rong Qu, Uwe Aickelin:
A Hybrid Pricing and Cutting Approach for the Multi-Shift Full Truckload Vehicle Routing Problem. CoRR abs/2012.06538 (2020)
2010 – 2019
- 2019
- [j68]Licheng Jiao, Fan Zhang, Fang Liu, Shuyuan Yang, Lingling Li, Zhixi Feng, Rong Qu:
A Survey of Deep Learning-Based Object Detection. IEEE Access 7: 128837-128868 (2019) - [j67]Caihong Mu, Chengzhou Li, Yi Liu, Rong Qu, Licheng Jiao:
Accelerated genetic algorithm based on search-space decomposition for change detection in remote sensing images. Appl. Soft Comput. 84 (2019) - [j66]Yuncheng Jiang, Mingxuan Yang, Rong Qu:
Semantic similarity measures for formal concept analysis using linked data and WordNet. Multim. Tools Appl. 78(14): 19807-19837 (2019) - [j65]Caihong Mu, Jian Zhang, Yi Liu, Rong Qu, Tianhuan Huang:
Multi-objective ant colony optimization algorithm based on decomposition for community detection in complex networks. Soft Comput. 23(23): 12683-12709 (2019) - [c42]Fang He, Thierry J. Chaussalet, Rong Qu:
Modelling The Home Health Care Nurse Scheduling Problem For Patients With Long-Term Conditions In The UK. ECMS 2019: 317-323 - [c41]Jérémie Clos, Rong Qu, Jason A. D. Atkin:
Information Retrieval for Evidence-Based Policy Making Applied to Lifelong Learning. SGAI Conf. 2019: 487-493 - [i2]Licheng Jiao, Fan Zhang, Fang Liu, Shuyuan Yang, Lingling Li, Zhixi Feng, Rong Qu:
A Survey of Deep Learning-based Object Detection. CoRR abs/1907.09408 (2019) - 2018
- [b1]Nelishia Pillay, Rong Qu:
Hyper-Heuristics: Theory and Applications. Natural Computing Series, Springer 2018, ISBN 978-3-319-96513-0, pp. 3-101 - [j64]Binhui Chen, Rong Qu, Ruibin Bai, Wasakorn Laesanklang:
A hyper-heuristic with two guidance indicators for bi-objective mixed-shift vehicle routing problem with time windows. Appl. Intell. 48(12): 4937-4959 (2018) - [j63]Ying Xu, Ou Ding, Rong Qu, Keqin Li:
Hybrid multi-objective evolutionary algorithms based on decomposition for wireless sensor network coverage optimization. Appl. Soft Comput. 68: 268-282 (2018) - [j62]Nelishia Pillay, Rong Qu, Dipti Srinivasan, Barbara Hammer, Kenneth Sörensen:
Automated Design of Machine Learning and Search Algorithms [Guest Editorial]. IEEE Comput. Intell. Mag. 13(2): 16-17 (2018) - [j61]Rong Qu, Yongyi Fang, Wen Bai, Yuncheng Jiang:
Computing semantic similarity based on novel models of semantic representation using Wikipedia. Inf. Process. Manag. 54(6): 1002-1021 (2018) - [c40]Mingzhu Yu, Xuwen Cong, Ben Niu, Rong Qu:
Iteration-Related Various Learning Particle Swarm Optimization for Quay Crane Scheduling Problem. BIC-TA (2) 2018: 201-212 - [c39]Mingzhu Yu, Zhichuan Chen, Li Chen, Rong Qu, Ben Niu:
Modified Mixed-Dimension Chaotic Particle Swarm Optimization for Liner Route Planning with Empty Container Repositioning. BIC-TA (2) 2018: 296-307 - [c38]Xiaoxian Huang, Yong Tang, Rong Qu, Chunying Li, Chengzhe Yuan, Saimei Sun, Bixia Xu:
Course Recommendation Model in Academic Social Networks Based on Association Rules and Multi -similarity. CSCWD 2018: 277-282 - 2017
- [j60]Huanlai Xing, Zhaoyuan Wang, Tianrui Li, Hui Li, Rong Qu:
An improved MOEA/D algorithm for multi-objective multicast routing with network coding. Appl. Soft Comput. 59: 88-103 (2017) - [j59]Huanlai Xing, Saifei Li, Yunhe Cui, Lianshan Yan, Wei Pan, Rong Qu:
A hybrid EDA for load balancing in multicast with network coding. Appl. Soft Comput. 59: 363-377 (2017) - [j58]Khin Lwin, Rong Qu, Bart L. MacCarthy:
Mean-VaR portfolio optimization: A nonparametric approach. Eur. J. Oper. Res. 260(2): 751-766 (2017) - [c37]Caihong Mu, Huiwen Cheng, Wei Feng, Yi Liu, Rong Qu:
Information core optimization using Evolutionary Algorithm with Elite Population in recommender systems. CEC 2017: 1143-1149 - [c36]Caihong Mu, Chengzhou Li, Yi Liu, Menghua Sun, Licheng Jiao, Rong Qu:
Change detection in SAR images based on the salient map guidance and an accelerated genetic algorithm. CEC 2017: 1150-1157 - 2016
- [j57]José Arturo Castillo Salazar, Dario Landa-Silva, Rong Qu:
Workforce scheduling and routing problems: literature survey and computational study. Ann. Oper. Res. 239(1): 39-67 (2016) - [j56]Graham Kendall, Ruibin Bai, Jacek Blazewicz, Patrick De Causmaecker, Michel Gendreau, Robert I. John, Jiawei Li, Barry McCollum, Erwin Pesch, Rong Qu, Nasser R. Sabar, Greet Vanden Berghe, Angelina Yee:
Good Laboratory Practice for optimization research. J. Oper. Res. Soc. 67(4): 676-689 (2016) - [j55]Kai Zhang, Min Wang, Shuyuan Yang, Yinghui Xing, Rong Qu:
Fusion of Panchromatic and Multispectral Images via Coupled Sparse Non-Negative Matrix Factorization. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(12): 5740-5747 (2016) - [j54]Zhaoyuan Wang, Huanlai Xing, Tianrui Li, Yan Yang, Rong Qu, Yi Pan:
A Modified Ant Colony Optimization Algorithm for Network Coding Resource Minimization. IEEE Trans. Evol. Comput. 20(3): 325-342 (2016) - [c35]Fang He, Rong Qu:
Hybridising Local Search With Branch-And-Bound For Constrained Portfolio Selection Problems. ECMS 2016: 446-452 - [c34]Huanlai Xing, Ying Xu, Rong Qu, Lexi Xu:
A PBIL for Load Balancing in Network Coding Based Multicasting. ICCSA (2) 2016: 34-44 - [c33]Rodrigo Lankaites Pinheiro, Dario Landa-Silva, Rong Qu, Edson Yanaga, Ademir Aparecido Constantino:
Towards an Efficient API for Optimisation Problems Data. ICEIS (2) 2016: 89-98 - [c32]Binhui Chen, Rong Qu, Ruibin Bai, Hisao Ishibuchi:
An Investigation on Compound Neighborhoods for VRPTW. ICORES (Selected Papers) 2016: 3-19 - [c31]Binhui Chen, Rong Qu, Ruibin Bai, Hisao Ishibuchi:
A Variable Neighbourhood Search Algorithm with Compound Neighbourhoods for VRPTW. ICORES 2016: 25-35 - [c30]Yan Jin, Rong Qu, Jason A. D. Atkin:
Constrained Portfolio Optimisation: The State-of-the-Art Markowitz Models. ICORES 2016: 388-395 - [c29]Huanlai Xing, Lexi Xu, Rong Qu, Zhijian Qu:
A quantum inspired evolutionary algorithm for dynamic multicast routing with network coding. ISCIT 2016: 186-190 - [c28]Jianjun Chen, Ruibin Bai, Haibo Dong, Rong Qu, Graham Kendall:
A dynamic truck dispatching problem in marine container terminal. SSCI 2016: 1-8 - 2015
- [j53]Rong Qu, Nam Pham, Ruibin Bai, Graham Kendall:
Hybridising heuristics within an estimation distribution algorithm for examination timetabling. Appl. Intell. 42(4): 679-693 (2015) - [j52]Kai Zhang, Hong Li, Shuyuan Yang, Min Wang, Zhengkang Liu, Rong Qu, Licheng Jiao:
Sparse Double-Geometric Nonlocal Mean image recovery via steerable kernel. Appl. Soft Comput. 33: 77-85 (2015) - [j51]Meiling Luo, Gang Li, C. L. Johnny Wan, Rong Qu, Ping Ji:
Supply chain coordination with dual procurement sources via real-option contract. Comput. Ind. Eng. 80: 274-283 (2015) - [j50]Jingpeng Li, Ruibin Bai, Yindong Shen, Rong Qu:
Search with evolutionary ruin and stochastic rebuild: A theoretic framework and a case study on exam timetabling. Eur. J. Oper. Res. 242(3): 798-806 (2015) - [j49]Zhaoyuan Wang, Huanlai Xing, Tianrui Li, Yan Yang, Rong Qu:
An Improved MOEA/D for QoS Oriented Multimedia Multicasting with Network Coding. EAI Endorsed Trans. Security Safety 2(5): e3 (2015) - [j48]Nasser R. Sabar, Masri Ayob, Graham Kendall, Rong Qu:
A Dynamic Multiarmed Bandit-Gene Expression Programming Hyper-Heuristic for Combinatorial Optimization Problems. IEEE Trans. Cybern. 45(2): 217-228 (2015) - [j47]Nasser R. Sabar, Masri Ayob, Graham Kendall, Rong Qu:
Automatic Design of a Hyper-Heuristic Framework With Gene Expression Programming for Combinatorial Optimization Problems. IEEE Trans. Evol. Comput. 19(3): 309-325 (2015) - [c27]Tianxiang Cui, Ruibin Bai, Andrew J. Parkes, Fang He, Rong Qu, Jingpeng Li:
A hybrid genetic algorithm for a two-stage stochastic portfolio optimization with uncertain asset prices. CEC 2015: 2518-2525 - [c26]Fang He, Rong Qu, Robert I. John:
A Compromise Based Fuzzy Goal Programming Approach With Satisfaction Function For Multi-Objective Portfolio Optimisation. ECMS 2015: 418-424 - [c25]José Arturo Castillo Salazar, Dario Landa-Silva, Rong Qu:
A Greedy Heuristic for Workforce Scheduling and Routing With Time-dependent Activities Constraints. ICORES 2015: 367-375 - 2014
- [j46]Peter Brucker, Rong Qu:
Network flow models for intraday personnel scheduling problems. Ann. Oper. Res. 218(1): 107-114 (2014) - [j45]Edmund K. Burke, Rong Qu, Amr Soghier:
Adaptive selection of heuristics for improving exam timetables. Ann. Oper. Res. 218(1): 129-145 (2014) - [j44]Huanlai Xing, Rong Qu, Lin Bai, Yuefeng Ji:
On minimizing coding operations in network coding based multicast: an evolutionary algorithm. Appl. Intell. 41(3): 820-836 (2014) - [j43]Khin Lwin, Rong Qu, Graham Kendall:
A learning-guided multi-objective evolutionary algorithm for constrained portfolio optimization. Appl. Soft Comput. 24: 757-772 (2014) - [j42]Fang He, Rong Qu:
A two-stage stochastic mixed-integer program modelling and hybrid solution approach to portfolio selection problems. Inf. Sci. 289: 190-205 (2014) - [j41]Huanlai Xing, Rong Qu, Graham Kendall, Ruibin Bai:
A path-oriented encoding evolutionary algorithm for network coding resource minimization. J. Oper. Res. Soc. 65(8): 1261-1277 (2014) - [c24]Geetha Baskaran, Andrzej Bargiela, Rong Qu:
Simulation Of Scheduling And Cost Effectiveness Of Nurses Using Domain Transformation Method. ECMS 2014: 226-234 - [c23]Geetha Baskaran, Andrzej Bargiela, Rong Qu:
New Solution for a Benchmark Nurse Scheduling Problem Using Integer Programming. ICITCS 2014: 1-4 - [c22]José Arturo Castillo Salazar, Dario Landa-Silva, Rong Qu:
Computational Study for Workforce Scheduling and Routing Problems. ICORES 2014: 434-444 - [c21]Yan Jin, Rong Qu, Jason A. D. Atkin:
A Population-Based Incremental Learning Method for Constrained Portfolio Optimisation. SYNASC 2014: 212-219 - [c20]Edward Kent, Jason A. D. Atkin, Rong Qu:
Vehicle Routing in a Forestry Commissioning Operation Using Ant Colony Optimisation. TPNC 2014: 95-106 - 2013
- [j40]Siti Khatijah Nor Abdul Rahim, Andrzej Bargiela, Rong Qu:
Domain transformation approach to deterministic optimization of examination timetables. Artif. Intell. Res. 2(1): 122-138 (2013) - [j39]Ying Xu, Rong Qu, Renfa Li:
A simulated annealing based genetic local search algorithm for multi-objective multicast routing problems. Ann. Oper. Res. 206(1): 527-555 (2013) - [j38]Khin Lwin, Rong Qu:
A hybrid algorithm for constrained portfolio selection problems. Appl. Intell. 39(2): 251-266 (2013) - [j37]Amr Soghier, Rong Qu:
Adaptive selection of heuristics for assigning time slots and rooms in exam timetables. Appl. Intell. 39(2): 438-450 (2013) - [j36]Rong Qu, Ying Xu, Juan P. Castro, Dario Landa-Silva:
Particle swarm optimization for the Steiner tree in graph and delay-constrained multicast routing problems. J. Heuristics 19(2): 317-342 (2013) - [j35]Edmund K. Burke, Timothy Curtois, Rong Qu, Greet Vanden Berghe:
A Time Predefined Variable Depth Search for Nurse Rostering. INFORMS J. Comput. 25(3): 411-419 (2013) - [j34]Huanlai Xing, Rong Qu:
A nondominated sorting genetic algorithm for bi-objective network coding based multicast routing problems. Inf. Sci. 233: 36-53 (2013) - [j33]Mohammed Hadwan, Masri Ayob, Nasser R. Sabar, Rong Qu:
A harmony search algorithm for nurse rostering problems. Inf. Sci. 233: 126-140 (2013) - [j32]Edmund K. Burke, Michel Gendreau, Matthew R. Hyde, Graham Kendall, Gabriela Ochoa, Ender Özcan, Rong Qu:
Hyper-heuristics: a survey of the state of the art. J. Oper. Res. Soc. 64(12): 1695-1724 (2013) - [j31]Nasser R. Sabar, Masri Ayob, Graham Kendall, Rong Qu:
Grammatical Evolution Hyper-Heuristic for Combinatorial Optimization Problems. IEEE Trans. Evol. Comput. 17(6): 840-861 (2013) - [c19]Jianjun Chen, Ruibin Bai, Rong Qu, Graham Kendall:
A task based approach for a real-world commodity routing problem. CIPLS 2013: 1-8 - [c18]Geetha Baskaran, Andrzej Bargiela, Rong Qu:
A Study Of Cost Effective Scheduling Of Nurses Based On The Domain Transformation Method. ECMS 2013: 309-314 - [c17]Siti Khatijah Nor Abdul Rahim, Andrzej Bargiela, Rong Qu:
Analysis Of Backtracking In University Examination Scheduling. ECMS 2013: 782-787 - [c16]Siti Khatijah Nor Abdul Rahim, Andrzej Bargiela, Rong Qu:
Hill Climbing versus Genetic Algorithm Optimization in Solving the Examination Timetabling Problem. ICORES 2013: 43-52 - [c15]Khin Lwin, Rong Qu, Jianhua Zheng:
Multi-objective Scatter Search with External Archive for Portfolio Optimization. IJCCI 2013: 111-119 - 2012
- [j30]Edmund K. Burke, Nam Pham, Rong Qu, Jay Yellen:
Linear combinations of heuristics for examination timetabling. Ann. Oper. Res. 194(1): 89-109 (2012) - [j29]Barry McCollum, Paul McMullan, Andrew J. Parkes, Edmund K. Burke, Rong Qu:
A new model for automated examination timetabling. Ann. Oper. Res. 194(1): 291-315 (2012) - [j28]Edmund K. Burke, Jingpeng Li, Rong Qu:
A Pareto-based search methodology for multi-objective nurse scheduling. Ann. Oper. Res. 196(1): 91-109 (2012) - [j27]Ying Xu, Rong Qu:
A hybrid scatter search meta-heuristic for delay-constrained multicast routing problems. Appl. Intell. 36(1): 229-241 (2012) - [j26]Jingpeng Li, Edmund K. Burke, Rong Qu:
A pattern recognition based intelligent search method and two assignment problem case studies. Appl. Intell. 36(2): 442-453 (2012) - [j25]Huanlai Xing, Rong Qu:
A compact genetic algorithm for the network coding based resource minimization problem. Appl. Intell. 36(4): 809-823 (2012) - [j24]Nasser R. Sabar, Masri Ayob, Rong Qu, Graham Kendall:
A graph coloring constructive hyper-heuristic for examination timetabling problems. Appl. Intell. 37(1): 1-11 (2012) - [j23]Ying Xu, Rong Qu:
An iterative local search approach based on fitness landscapes analysis for the delay-constrained multicast routing problem. Comput. Commun. 35(3): 352-365 (2012) - [j22]Fang He, Rong Qu:
A constraint programming based column generation approach to nurse rostering problems. Comput. Oper. Res. 39(12): 3331-3343 (2012) - [j21]Nasser R. Sabar, Masri Ayob, Graham Kendall, Rong Qu:
A honey-bee mating optimization algorithm for educational timetabling problems. Eur. J. Oper. Res. 216(3): 533-543 (2012) - [j20]Ruibin Bai, Graham Kendall, Rong Qu, Jason A. D. Atkin:
Tabu assisted guided local search approaches for freight service network design. Inf. Sci. 189: 266-281 (2012) - [c14]Jingpeng Li, Rong Qu, Yindong Shen:
Evolutionary Ruin And Stochastic Recreate: A Case Study On The Exam Timetabling Problem. ECMS 2012: 347-353 - 2011
- [j19]Peter Brucker, Rong Qu, Edmund K. Burke:
Personnel scheduling: Models and complexity. Eur. J. Oper. Res. 210(3): 467-473 (2011) - [j18]Huanlai Xing, Rong Qu:
A Population Based Incremental Learning for Network Coding Resources Minimization. IEEE Commun. Lett. 15(7): 698-700 (2011) - [j17]Ying Xu, Rong Qu:
Solving multi-objective multicast routing problems by evolutionary multi-objective simulated annealing algorithms with variable neighbourhoods. J. Oper. Res. Soc. 62(2): 313-325 (2011) - [j16]Jingpeng Li, Edmund K. Burke, Rong Qu:
Integrating neural networks and logistic regression to underpin hyper-heuristic search. Knowl. Based Syst. 24(2): 322-330 (2011) - [c13]Huanlai Xing, Rong Qu:
A Population Based Incremental Learning for Delay Constrained Network Coding Resource Minimization. EvoApplications (2) 2011: 51-60 - [c12]Edmund K. Burke, Rong Qu, Amr Soghier:
An Adaptive Tie Breaking and Hybridisation Hyper-Heuristic for Exam Timetabling Problems. NICSO 2011: 205-223 - 2010
- [j15]Edmund K. Burke, Jingpeng Li, Rong Qu:
A hybrid model of integer programming and variable neighbourhood search for highly-constrained nurse rostering problems. Eur. J. Oper. Res. 203(2): 484-493 (2010) - [j14]Edmund K. Burke, A. J. Eckersley, Barry McCollum, Sanja Petrovic, Rong Qu:
Hybrid variable neighbourhood approaches to university exam timetabling. Eur. J. Oper. Res. 206(1): 46-53 (2010) - [j13]Peter Brucker, Edmund K. Burke, Timothy Curtois, Rong Qu, Greet Vanden Berghe:
A shift sequence based approach for nurse scheduling and a new benchmark dataset. J. Heuristics 16(4): 559-573 (2010) - [j12]Barry McCollum, Andrea Schaerf, Ben Paechter, Paul McMullan, Rhydian Lewis, Andrew J. Parkes, Luca Di Gaspero, Rong Qu, Edmund K. Burke:
Setting the Research Agenda in Automated Timetabling: The Second International Timetabling Competition. INFORMS J. Comput. 22(1): 120-130 (2010) - [j11]Edmund K. Burke, Timothy Curtois, Rong Qu, Greet Vanden Berghe:
A scatter search methodology for the nurse rostering problem. J. Oper. Res. Soc. 61(11): 1667-1679 (2010)
2000 – 2009
- 2009
- [j10]Rong Qu, Edmund K. Burke, Barry McCollum:
Adaptive automated construction of hybrid heuristics for exam timetabling and graph colouring problems. Eur. J. Oper. Res. 198(2): 392-404 (2009) - [j9]Rong Qu, Edmund K. Burke:
Hybridizations within a graph-based hyper-heuristic framework for university timetabling problems. J. Oper. Res. Soc. 60(9): 1273-1285 (2009) - [j8]Rong Qu, Edmund K. Burke, Barry McCollum, Liam T. G. Merlot, S. Y. Lee:
A survey of search methodologies and automated system development for examination timetabling. J. Sched. 12(1): 55-89 (2009) - [j7]Rong Qu, Maria Fox, Derek Long:
Editorial for AI planning and scheduling. J. Sched. 12(3): 225-226 (2009) - [c11]Nasser R. Sabar, Masri Ayob, Graham Kendall, Rong Qu:
Roulette Wheel Graph Colouring for Solving Examination Timetabling Problems. COCOA 2009: 463-470 - [c10]Geetha Baskaran, Andrzej Bargiela, Rong Qu:
Hierarchical Method For Nurse Rostering Based On Granular Pre-Processing Of Constraints. ECMS 2009: 855-860 - [c9]Siti Khatijah Nor Abdul Rahim, Andrzej Bargiela, Rong Qu:
Granular Modelling Of Exam To Slot Allocation. ECMS 2009: 861-866 - [c8]Gabriela Ochoa, Rong Qu, Edmund K. Burke:
Analyzing the landscape of a graph based hyper-heuristic for timetabling problems. GECCO 2009: 341-348 - [c7]Rong Qu, Ying Xu, Graham Kendall:
A Variable Neighborhood Descent Search Algorithm for Delay-Constrained Least-Cost Multicast Routing. LION 2009: 15-29 - [c6]Fang He, Rong Qu:
A Constraint-directed Local Search Approach to Nurse Rostering Problems. LSCS 2009: 69-80 - 2008
- [j6]Edmund K. Burke, Timothy Curtois, Gerhard F. Post, Rong Qu, Bart Veltman:
A hybrid heuristic ordering and variable neighbourhood search for the nurse rostering problem. Eur. J. Oper. Res. 188(2): 330-341 (2008) - [c5]Rong Qu, Fang He:
A Hybrid Constraint Programming Approach for Nurse Rostering Problems. SGAI Conf. (Applications) 2008: 211-224 - [i1]Salwani Abdullah, Uwe Aickelin, Edmund K. Burke, Aniza Mohamed Din, Rong Qu:
Investigating a Hybrid Metaheuristic For Job Shop Rescheduling. CoRR abs/0803.1728 (2008) - 2007
- [j5]Edmund K. Burke, Barry McCollum, Amnon Meisels, Sanja Petrovic, Rong Qu:
A graph-based hyper-heuristic for educational timetabling problems. Eur. J. Oper. Res. 176(1): 177-192 (2007) - [c4]Salwani Abdullah, Uwe Aickelin, Edmund K. Burke, Aniza Mohamed Din, Rong Qu:
Investigating a Hybrid Metaheuristic for Job Shop Rescheduling. ACAL 2007: 357-368 - [c3]Masri Ayob, Ariff Md. Ab. Malik, Salwani Abdullah, Abdul Razak Hamdan, Graham Kendall, Rong Qu:
Solving a Practical Examination Timetabling Problem: A Case Study. ICCSA (3) 2007: 611-624 - 2006
- [j4]Edmund K. Burke, Bart L. MacCarthy, Sanja Petrovic, Rong Qu:
Multiple-retrieval case-based reasoning for course timetabling problems. J. Oper. Res. Soc. 57(2): 148-162 (2006) - [j3]Edmund K. Burke, Sanja Petrovic, Rong Qu:
Case-based heuristic selection for timetabling problems. J. Sched. 9(2): 115-132 (2006) - 2002
- [j2]Susan Malaika, Constance J. Nelin, Rong Qu, Berthold Reinwald, Daniel C. Wolfson:
DB2 and Web services. IBM Syst. J. 41(4): 666-685 (2002) - [c2]Edmund K. Burke, Bart L. MacCarthy, Sanja Petrovic, Rong Qu:
Knowledge Discovery in a Hyper-heuristic for Course Timetabling Using Case-Based Reasoning. PATAT 2002: 276-287 - 2001
- [c1]Edmund K. Burke, Bart L. MacCarthy, Sanja Petrovic, Rong Qu:
Case-Based Reasoning in Course Timetabling: An Attribute Graph Approach. ICCBR 2001: 90-104 - 2000
- [j1]Edmund K. Burke, Bart L. MacCarthy, Sanja Petrovic, Rong Qu:
Structured cases in case-based reasoning - re-using and adapting cases for time-tabling problems. Knowl. Based Syst. 13(2-3): 159-165 (2000)
Coauthor Index
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