Rong Qu
Orcid: 0000-0001-8318-7509
According to our database1,
Rong Qu
authored at least 159 papers
between 2000 and 2024.
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Bibliography
2024
DTCM: Deep Transformer Capsule Mutual Distillation for Multivariate Time Series Classification.
IEEE Trans. Cogn. Dev. Syst., August, 2024
IEEE Trans. Artif. Intell., August, 2024
IEEE Trans. Syst. Man Cybern. Syst., April, 2024
Automated design of local search algorithms: Predicting algorithmic components with LSTM.
Expert Syst. Appl., March, 2024
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024
Learning-guided cross-sampling for large-scale evolutionary multi-objective optimization.
Swarm Evol. Comput., 2024
A pattern-based algorithm with fuzzy logic bin selector for online bin packing problem.
Expert Syst. Appl., 2024
Container port truck dispatching optimization using Real2Sim based deep reinforcement learning.
Eur. J. Oper. Res., 2024
ESP-MedSAM: Efficient Self-Prompting SAM for Universal Domain-Generalized Medical Image Segmentation.
CoRR, 2024
Advancing container port traffic simulation: A data-driven machine learning approach in sparse data environments.
Appl. Soft Comput., 2024
Machine Learning for Evolutionary Computation - the Vehicle Routing Problems Competition.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
A Hierarchical Cooperative Genetic Programming for Complex Piecewise Symbolic Regression.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
2023
Inf. Sci., November, 2023
Cooperative Double-Layer Genetic Programming Hyper-Heuristic for Online Container Terminal Truck Dispatching.
IEEE Trans. Evol. Comput., October, 2023
Automated algorithm design using proximal policy optimisation with identified features.
Expert Syst. Appl., April, 2023
IEEE Trans. Cybern., March, 2023
Appl. Soft Comput., March, 2023
IEEE Comput. Intell. Mag., February, 2023
Automated Design of Metaheuristics Using Reinforcement Learning Within a Novel General Search Framework.
IEEE Trans. Evol. Comput., 2023
Guest Editorial Special Issue on Multiobjective Evolutionary Optimization in Machine Learning.
IEEE Trans. Evol. Comput., 2023
Proceedings of the 23rd IEEE International Conference on Software Quality, 2023
Neural Network Assisted Genetic Programming in Dynamic Container Port Truck Dispatching.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
Transformer Surrogate Genetic Programming for Dynamic Container Port Truck Dispatching.
Proceedings of the Bio-Inspired Computing: Theories and Applications, 2023
2022
An integrated container terminal scheduling problem with different-berth sizes via multiobjective hydrologic cycle optimization.
Int. J. Intell. Syst., December, 2022
An Efficient Federated Distillation Learning System for Multitask Time Series Classification.
IEEE Trans. Instrum. Meas., 2022
IEEE Trans. Geosci. Remote. Sens., 2022
Identify Patterns in Online Bin Packing Problem: An Adaptive Pattern-Based Algorithm.
Symmetry, 2022
An ACO for energy-efficient and traffic-aware virtual machine placement in cloud computing.
Swarm Evol. Comput., 2022
Expert Syst. Appl., 2022
A deep reinforcement learning based hyper-heuristic for combinatorial optimisation with uncertainties.
Eur. J. Oper. Res., 2022
An Efficient Federated Distillation Learning System for Multi-task Time Series Classification.
CoRR, 2022
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
2021
Proceedings of the Automated Design of Machine Learning and Search Algorithms, 2021
Proceedings of the Automated Design of Machine Learning and Search Algorithms, 2021
IEEE Trans. Evol. Comput., 2021
IEEE Trans. Pattern Anal. Mach. Intell., 2021
Expert Syst. Appl., 2021
A hybrid pricing and cutting approach for the multi-shift full truckload vehicle routing problem.
Eur. J. Oper. Res., 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
A hybrid combinatorial approach to a two-stage stochastic portfolio optimization model with uncertain asset prices.
Soft Comput., 2020
Fuzzy Superpixels Based Semi-Supervised Similarity-Constrained CNN for PolSAR Image Classification.
Remote. Sens., 2020
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., 2020
IEEE Internet Things J., 2020
IEEE Comput. Intell. Mag., 2020
Proceedings of the 25th IEEE Pacific Rim International Symposium on Dependable Computing, 2020
A Data-Driven Genetic Programming Heuristic for Real-World Dynamic Seaport Container Terminal Truck Dispatching.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
Multi-objective ant colony optimization algorithm based on decomposition for community detection in complex networks.
Soft Comput., 2019
Semantic similarity measures for formal concept analysis using linked data and WordNet.
Multim. Tools Appl., 2019
Accelerated genetic algorithm based on search-space decomposition for change detection in remote sensing images.
Appl. Soft Comput., 2019
Proceedings of the Artificial Intelligence XXXVI, 2019
Modelling The Home Health Care Nurse Scheduling Problem For Patients With Long-Term Conditions In The UK.
Proceedings of the 33rd International ECMS Conference on Modelling and Simulation, 2019
2018
Natural Computing Series, Springer, ISBN: 978-3-319-96513-0, 2018
Computing semantic similarity based on novel models of semantic representation using Wikipedia.
Inf. Process. Manag., 2018
IEEE Comput. Intell. Mag., 2018
Hybrid multi-objective evolutionary algorithms based on decomposition for wireless sensor network coverage optimization.
Appl. Soft Comput., 2018
A hyper-heuristic with two guidance indicators for bi-objective mixed-shift vehicle routing problem with time windows.
Appl. Intell., 2018
Course Recommendation Model in Academic Social Networks Based on Association Rules and Multi -similarity.
Proceedings of the 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, 2018
Iteration-Related Various Learning Particle Swarm Optimization for Quay Crane Scheduling Problem.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2018
Modified Mixed-Dimension Chaotic Particle Swarm Optimization for Liner Route Planning with Empty Container Repositioning.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2018
2017
An improved MOEA/D algorithm for multi-objective multicast routing with network coding.
Appl. Soft Comput., 2017
Appl. Soft Comput., 2017
Change detection in SAR images based on the salient map guidance and an accelerated genetic algorithm.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Information core optimization using Evolutionary Algorithm with Elite Population in recommender systems.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
A Modified Ant Colony Optimization Algorithm for Network Coding Resource Minimization.
IEEE Trans. Evol. Comput., 2016
Fusion of Panchromatic and Multispectral Images via Coupled Sparse Non-Negative Matrix Factorization.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016
Workforce scheduling and routing problems: literature survey and computational study.
Ann. Oper. Res., 2016
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
A quantum inspired evolutionary algorithm for dynamic multicast routing with network coding.
Proceedings of the 16th International Symposium on Communications and Information Technologies, 2016
Proceedings of 5th the International Conference on Operations Research and Enterprise Systems (ICORES 2016), 2016
Proceedings of the Operations Research and Enterprise Systems, 2016
Proceedings of 5th the International Conference on Operations Research and Enterprise Systems (ICORES 2016), 2016
Proceedings of the ICEIS 2016, 2016
Proceedings of the Computational Science and Its Applications - ICCSA 2016, 2016
Hybridising Local Search With Branch-And-Bound For Constrained Portfolio Selection Problems.
Proceedings of the 30th European Conference on Modelling and Simulation, 2016
2015
Automatic Design of a Hyper-Heuristic Framework With Gene Expression Programming for Combinatorial Optimization Problems.
IEEE Trans. Evol. Comput., 2015
A Dynamic Multiarmed Bandit-Gene Expression Programming Hyper-Heuristic for Combinatorial Optimization Problems.
IEEE Trans. Cybern., 2015
EAI Endorsed Trans. Security Safety, 2015
Search with evolutionary ruin and stochastic rebuild: A theoretic framework and a case study on exam timetabling.
Eur. J. Oper. Res., 2015
Comput. Ind. Eng., 2015
Appl. Soft Comput., 2015
Hybridising heuristics within an estimation distribution algorithm for examination timetabling.
Appl. Intell., 2015
A Greedy Heuristic for Workforce Scheduling and Routing With Time-dependent Activities Constraints.
Proceedings of the ICORES 2015, 2015
A Compromise Based Fuzzy Goal Programming Approach With Satisfaction Function For Multi-Objective Portfolio Optimisation.
Proceedings of the 29th European Conference on Modelling and Simulation, 2015
A hybrid genetic algorithm for a two-stage stochastic portfolio optimization with uncertain asset prices.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
2014
A path-oriented encoding evolutionary algorithm for network coding resource minimization.
J. Oper. Res. Soc., 2014
A two-stage stochastic mixed-integer program modelling and hybrid solution approach to portfolio selection problems.
Inf. Sci., 2014
A learning-guided multi-objective evolutionary algorithm for constrained portfolio optimization.
Appl. Soft Comput., 2014
On minimizing coding operations in network coding based multicast: an evolutionary algorithm.
Appl. Intell., 2014
Ann. Oper. Res., 2014
Ann. Oper. Res., 2014
Proceedings of the Theory and Practice of Natural Computing, 2014
A Population-Based Incremental Learning Method for Constrained Portfolio Optimisation.
Proceedings of the 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2014
Proceedings of the ICORES 2014, 2014
Proceedings of the 2014 International Conference on IT Convergence and Security, 2014
Simulation Of Scheduling And Cost Effectiveness Of Nurses Using Domain Transformation Method.
Proceedings of the 28th European Conference on Modelling and Simulation, 2014
2013
IEEE Trans. Evol. Comput., 2013
A nondominated sorting genetic algorithm for bi-objective network coding based multicast routing problems.
Inf. Sci., 2013
INFORMS J. Comput., 2013
Particle swarm optimization for the Steiner tree in graph and delay-constrained multicast routing problems.
J. Heuristics, 2013
Adaptive selection of heuristics for assigning time slots and rooms in exam timetables.
Appl. Intell., 2013
A simulated annealing based genetic local search algorithm for multi-objective multicast routing problems.
Ann. Oper. Res., 2013
Domain transformation approach to deterministic optimization of examination timetables.
Artif. Intell. Res., 2013
Proceedings of the IJCCI 2013, 2013
Hill Climbing versus Genetic Algorithm Optimization in Solving the Examination Timetabling Problem.
Proceedings of the ICORES 2013, 2013
Proceedings of the 27th European Conference on Modelling and Simulation, 2013
A Study Of Cost Effective Scheduling Of Nurses Based On The Domain Transformation Method.
Proceedings of the 27th European Conference on Modelling and Simulation, 2013
Proceedings of the IEEE Symposium on Computational Intelligence In Production And Logistics Systems, 2013
2012
Inf. Sci., 2012
Eur. J. Oper. Res., 2012
A constraint programming based column generation approach to nurse rostering problems.
Comput. Oper. Res., 2012
An iterative local search approach based on fitness landscapes analysis for the delay-constrained multicast routing problem.
Comput. Commun., 2012
A hybrid scatter search meta-heuristic for delay-constrained multicast routing problems.
Appl. Intell., 2012
A compact genetic algorithm for the network coding based resource minimization problem.
Appl. Intell., 2012
Appl. Intell., 2012
A pattern recognition based intelligent search method and two assignment problem case studies.
Appl. Intell., 2012
Ann. Oper. Res., 2012
Evolutionary Ruin And Stochastic Recreate: A Case Study On The Exam Timetabling Problem.
Proceedings of the 26th European Conference on Modelling and Simulation, 2012
2011
Integrating neural networks and logistic regression to underpin hyper-heuristic search.
Knowl. Based Syst., 2011
Solving multi-objective multicast routing problems by evolutionary multi-objective simulated annealing algorithms with variable neighbourhoods.
J. Oper. Res. Soc., 2011
IEEE Commun. Lett., 2011
An Adaptive Tie Breaking and Hybridisation Hyper-Heuristic for Exam Timetabling Problems.
Proceedings of the Nature Inspired Cooperative Strategies for Optimization, 2011
A Population Based Incremental Learning for Delay Constrained Network Coding Resource Minimization.
Proceedings of the Applications of Evolutionary Computation, 2011
2010
J. Oper. Res. Soc., 2010
Setting the Research Agenda in Automated Timetabling: The Second International Timetabling Competition.
INFORMS J. Comput., 2010
J. Heuristics, 2010
A hybrid model of integer programming and variable neighbourhood search for highly-constrained nurse rostering problems.
Eur. J. Oper. Res., 2010
Eur. J. Oper. Res., 2010
2009
A survey of search methodologies and automated system development for examination timetabling.
J. Sched., 2009
Hybridizations within a graph-based hyper-heuristic framework for university timetabling problems.
J. Oper. Res. Soc., 2009
Adaptive automated construction of hybrid heuristics for exam timetabling and graph colouring problems.
Eur. J. Oper. Res., 2009
Proceedings of the Proceedings 6th International Workshop on Local Search Techniques in Constraint Satisfaction, 2009
A Variable Neighborhood Descent Search Algorithm for Delay-Constrained Least-Cost Multicast Routing.
Proceedings of the Learning and Intelligent Optimization, Third International Conference, 2009
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
Proceedings of the European Conference on Modelling and Simulation, 2009
Hierarchical Method For Nurse Rostering Based On Granular Pre-Processing Of Constraints.
Proceedings of the European Conference on Modelling and Simulation, 2009
Proceedings of the Combinatorial Optimization and Applications, 2009
2008
A hybrid heuristic ordering and variable neighbourhood search for the nurse rostering problem.
Eur. J. Oper. Res., 2008
Proceedings of the Applications and Innovations in Intelligent Systems XVI, 2008
2007
Eur. J. Oper. Res., 2007
Proceedings of the Computational Science and Its Applications, 2007
Proceedings of the Progress in Artificial Life, Third Australian Conference, 2007
2006
J. Oper. Res. Soc., 2006
2002
Knowledge Discovery in a Hyper-heuristic for Course Timetabling Using Case-Based Reasoning.
Proceedings of the Practice and Theory of Automated Timetabling IV, 2002
2001
Proceedings of the Case-Based Reasoning Research and Development, 2001
2000
Structured cases in case-based reasoning - re-using and adapting cases for time-tabling problems.
Knowl. Based Syst., 2000