Rui Wang

Orcid: 0000-0001-9048-2979

Affiliations:
  • National University of Defense Technology, College of Information Systems and Management, ChangSha, China
  • University of Sheffield, UK (PhD 2013)


According to our database1, Rui Wang authored at least 120 papers between 2006 and 2024.

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Bibliography

2024
A Mahalanobis Distance-Based Approach for Dynamic Multiobjective Optimization With Stochastic Changes.
IEEE Trans. Evol. Comput., February, 2024

An evolutionary algorithm based on fully connected weight networks for mixed-variable multi-objective optimization.
Inf. Sci., February, 2024

Learning to Branch in Combinatorial Optimization with Graph Pointer Networks.
IEEE CAA J. Autom. Sinica, January, 2024

A dual-population multi-objective evolutionary algorithm driven by generative adversarial networks for benchmarking and protein-peptide docking.
Comput. Biol. Medicine, January, 2024

Large-Scale Binary Matrix Optimization for Multimicrogrids Network Structure Design.
IEEE Trans. Syst. Man Cybern. Syst., 2024

2023
Hybridization of Evolutionary Algorithm and Deep Reinforcement Learning for Multiobjective Orienteering Optimization.
IEEE Trans. Evol. Comput., October, 2023

Cooperative coevolutionary competition swarm optimizer with perturbation for high-dimensional multi-objective optimization.
Inf. Sci., October, 2023

Guest Editorial Special Issue on Deep Reinforcement Learning for Optimization: Methods and Application.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2023

AMSUnet: A neural network using atrous multi-scale convolution for medical image segmentation.
Comput. Biol. Medicine, August, 2023

Brain storm optimization algorithm for solving knowledge spillover problems.
Neural Comput. Appl., June, 2023

Multimodal multi-objective optimization: Comparative study of the state-of-the-art.
Swarm Evol. Comput., March, 2023

Hierarchy Ranking Method for Multimodal Multiobjective Optimization With Local Pareto Fronts.
IEEE Trans. Evol. Comput., February, 2023

Meta-heuristic Techniques in Microgrid Management: A Survey.
Swarm Evol. Comput., 2023

Helper objective-based multifactorial evolutionary algorithm for continuous optimization.
Swarm Evol. Comput., 2023

On the effect of particle update modes in particle swarm optimisation.
Int. J. Bio Inspired Comput., 2023

Coevolutionary Framework for Generalized Multimodal Multi-Objective Optimization.
IEEE CAA J. Autom. Sinica, 2023

Many-Constraint Multi-objective Optimization of Grid-Connected Hybrid Renewable Energy System.
Proceedings of the Data Mining and Big Data - 8th International Conference, 2023

2022
A Novel Dual-Stage Dual-Population Evolutionary Algorithm for Constrained Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2022

An Evolutionary Multiobjective Knee-Based Lower Upper Bound Estimation Method for Wind Speed Interval Forecast.
IEEE Trans. Evol. Comput., 2022

Solving Periodic Investment Portfolio Selection Problems by a Data-Assisted Multiobjective Evolutionary Approach.
IEEE Trans. Cybern., 2022

Deep Reinforcement Learning for Combinatorial Optimization: Covering Salesman Problems.
IEEE Trans. Cybern., 2022

A novel multi-objective evolutionary algorithm for hybrid renewable energy system design.
Swarm Evol. Comput., 2022

A deep reinforcement learning based searching method for source localization.
Inf. Sci., 2022

Large-scale matrix optimization based multi microgrid topology design with a constrained differential evolution algorithm.
CoRR, 2022

Multimodal Multi-objective Optimization: Comparative Study of the State-of-the-Art.
CoRR, 2022

Hybridization of evolutionary algorithm and deep reinforcement learning for multi-objective orienteering optimization.
CoRR, 2022

Deep Reinforcement Learning for Online Routing of Unmanned Aerial Vehicles with Wireless Power Transfer.
CoRR, 2022

Multimodal multi-objective evolutionary algorithm for multiple path planning.
Comput. Ind. Eng., 2022

2021
An Iterative Two-Phase Optimization Method Based on Divide and Conquer Framework for Integrated Scheduling of Multiple UAVs.
IEEE Trans. Intell. Transp. Syst., 2021

A Dual-Population-Based Evolutionary Algorithm for Constrained Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2021

Weighted Indicator-Based Evolutionary Algorithm for Multimodal Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2021

Deep Reinforcement Learning for Multiobjective Optimization.
IEEE Trans. Cybern., 2021

PCA-assisted reproduction for continuous multi-objective optimization with complicated Pareto optimal set.
Swarm Evol. Comput., 2021

An efficient bilevel differential evolution algorithm with adaptation of lower level population size and search radius.
Memetic Comput., 2021

Preference-inspired coevolutionary algorithm with active diversity strategy for multi-objective multi-modal optimization.
Inf. Sci., 2021

Deep Reinforcement Learning for Combinatorial Optimization: Covering Salesman Problems.
CoRR, 2021

Multi-supply multi-capacitated p-median location optimization via a hybrid bi-level intelligent algorithm.
Comput. Ind. Eng., 2021

Multiobjective routing optimization of mobile charging vehicles for UAV power supply guarantees.
Comput. Ind. Eng., 2021

Modified non-dominated sorting genetic algorithm III with fine final level selection.
Appl. Intell., 2021

UAV Path Planning Based on Variable Neighborhood Search Genetic Algorithm.
Proceedings of the Advances in Swarm Intelligence - 12th International Conference, 2021

Helper Objective Assisted Evolutionary Algorithm for Multi-modal Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

A New Encoding Mechanism Embedded Evolutionary Algorithm for UAV Route Planning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Investigating Constraint Relationship in Evolutionary Many-Constraint Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Hyperplane Assisted Evolutionary Algorithm for Many-Objective Optimization Problems.
IEEE Trans. Cybern., 2020

Configuring differential evolution adaptively via path search in a directed acyclic graph for data clustering.
Swarm Evol. Comput., 2020

Intelligent Energy-Saving Supervision System of Urban Buildings Based on the Internet of Things: A Case Study.
IEEE Syst. J., 2020

Special issue - Advanced Methods for Evolutionary Many Objective Optimization.
Inf. Sci., 2020

A novel many-objective evolutionary algorithm based on transfer matrix with Kriging model.
Inf. Sci., 2020

Reinvestigation of evolutionary many-objective optimization: Focus on the Pareto knee front.
Inf. Sci., 2020

A dynamic multi-objective evolutionary algorithm based on intensity of environmental change.
Inf. Sci., 2020

Research on the Multiobjective Optimization of Microwave Wireless Power Receiving in an Unmanned Aerial Vehicle Network.
Complex., 2020

NECTAR-An Agent-Based Dynamic Task Allocation Algorithm in the UAV Swarm.
Complex., 2020

Voting-mechanism based ensemble constraint handling technique for real-world single-objective constrained optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Multi/Many-Objective Optimization Via A New Preference Indicator.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Multi-scenario microgrid optimization using an evolutionary multi-objective algorithm.
Swarm Evol. Comput., 2019

Multi-objective evolutionary computation for topology coverage assessment problem.
Knowl. Based Syst., 2019

Constrained optimisation by solving equivalent dynamic loosely-constrained multiobjective optimisation problem.
Int. J. Bio Inspired Comput., 2019

Deep Reinforcement Learning for Multi-objective Optimization.
CoRR, 2019

Solving multi-scenario cardinality constrained optimization problems via multi-objective evolutionary algorithms.
Sci. China Inf. Sci., 2019

Multi-Objective Configuration Optimization for Isolated Microgrid With Shiftable Loads and Mobile Energy Storage.
IEEE Access, 2019

A Multi-Function Common Mode Choke Based on Active CM EMI Filters for AC/DC Power Converters.
IEEE Access, 2019

A dual-grid dual-phase strategy for constrained multi-objective optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A Knee-Point Driven Multi-objective Evolutionary Algorithm for Flexible Job Shop Scheduling.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Evolutionary Many-Constraint Optimization: An Exploratory Analysis.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

Brain Storm Optimization Algorithm Based on Improved Clustering Approach Using Orthogonal Experimental Design.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

PBAR: Parallelized Brain Storm Optimization for Association Rule Mining.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Inverted-file R-tree Index Nodes Clustering Based on Multi-objective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

MEAPCA: A Multi-population Evolutionary Algorithm Based on PCA for Multi-objective Optimization.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2019

2018
Localized Weighted Sum Method for Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2018

Multi-clustering via evolutionary multi-objective optimization.
Inf. Sci., 2018

Cooperative co-evolution with improved differential grouping method for large-scale global optimisation.
Int. J. Bio Inspired Comput., 2018

Design of an Optimized Architecture for Manned and Unmanned Combat System-of-Systems: Formulation and Coevolutionary Optimization.
IEEE Access, 2018

A Self-Adapted Across Neighborhood Search Algorithm With Variable Reduction Strategy for Solving Non-Convex Static and Dynamic Economic Dispatch Problems.
IEEE Access, 2018

Evolutionary Many-Objective Optimization: A Comparative Study of the State-of-the-Art.
IEEE Access, 2018

Multi-indicator Bacterial Foraging Algorithm with Kriging Model for Many-Objective Optimization.
Proceedings of the Advances in Swarm Intelligence - 9th International Conference, 2018

A Novel Many-Objective Bacterial Foraging Optimizer Based on Multi-engine Cooperation Framework.
Proceedings of the Advances in Swarm Intelligence - 9th International Conference, 2018

Using Iterated Greedy with a New Population Approach for the Flexible Jobshop Scheduling Problem.
Proceedings of the 2018 IEEE International Conference on Industrial Engineering and Engineering Management, 2018

Short-Term Load Forecasting Based on RBM and NARX Neural Network.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

Extremized PICEA-g for Nadir Point Estimation in Many-Objective Optimization.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

An across neighborhood search algorithm with a solution difference perturbation mechanism for solving economic dispatch problems.
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

2017
Pareto adaptive penalty-based boundary intersection method for multi-objective optimization.
Inf. Sci., 2017

On the effect of reference point in MOEA/D for multi-objective optimization.
Appl. Soft Comput., 2017

Bacterial Foraging Algorithm Based on Reinforcement Learning for Continuous Optimizations.
Proceedings of the Computational Intelligence and Intelligent Systems, 2017

A comprehensive MPC based energy management framework for isolated microgrids.
Proceedings of the 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, 2017

Gbest-Guided Covariance Matrix Adaptation Evolution Strategy for Large Scale Global Optimization.
Proceedings of the Intelligent Computing Theories and Application, 2017

Effect of Transfer Functions in Deep Belief Network for Short-Term Load Forecasting.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2017

2016
Decomposition-Based Algorithms Using Pareto Adaptive Scalarizing Methods.
IEEE Trans. Evol. Comput., 2016

Differential evolution with multi-population based ensemble of mutation strategies.
Inf. Sci., 2016

A multi-objective co-evolutionary algorithm for energy-efficient scheduling on a green data center.
Comput. Oper. Res., 2016

Solving a multi-objective dynamic stochastic districting and routing problem with a co-evolutionary algorithm.
Comput. Oper. Res., 2016

On the effect of localized PBI method in MOEA/D for multi-objective optimization.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Wind speed prediction using a cooperative coevolution genetic algorithm based on back propagation neural network.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
An analysis of parameter sensitivities of preference-inspired co-evolutionary algorithms.
Int. J. Syst. Sci., 2015

The iPICEA-g: a new hybrid evolutionary multi-criteria decision making approach using the brushing technique.
Eur. J. Oper. Res., 2015

Preference-inspired co-evolutionary algorithms using weight vectors.
Eur. J. Oper. Res., 2015

Stochastic Model Predictive Control Based Economic Dispatch for Hybrid Energy System Including Wind and Energy Storage Devices.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Short-Term Forecasting of Wind Power Generation Based on the Similar Day and Elman Neural Network.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Multi-objective optimal design of hybrid renewable energy systems using evolutionary algorithms.
Proceedings of the 11th International Conference on Natural Computation, 2015

Pareto Adaptive Scalarising Functions for Decomposition Based Algorithms.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

2014
General framework for localised multi-objective evolutionary algorithms.
Inf. Sci., 2014

Combining Syntactic and Semantic Encoding for LTL Bounded Model Checking.
Proceedings of the 2014 Theoretical Aspects of Software Engineering Conference, 2014

PICEA-g using an enhanced fitness assignment method.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, 2014

A review of hybrid evolutionary multiple criteria decision making methods.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

The SAS Statistical Machine Translation System for WAT 2014.
Proceedings of the 1st Workshop on Asian Translation, 2014

2013
Preference-inspired co-evolutionary algorithms.
PhD thesis, 2013

Preference-Inspired Coevolutionary Algorithms for Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2013

Optimal Scheduling of Track Maintenance on a Railway Network.
Qual. Reliab. Eng. Int., 2013

Counterexample-Preserving Reduction for Symbolic Model Checking.
Proceedings of the Theoretical Aspects of Computing - ICTAC 2013, 2013

Preference-inspired co-evolutionary algorithm using weights for many-objective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

On finding well-spread pareto optimal solutions by preference-inspired co-evolutionary algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

"Whatever Works Best for You"- A New Method for a Priori and Progressive Multi-objective Optimisation.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

An enhanced MOEA/D using uniform directions and a pre-organization procedure.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Preference-inspired co-evolutionary algorithm using adaptively generated goal vectors.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
Local preference-inspired co-evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2008
Constrained optimization by the evolutionary algorithm with lower dimensional crossover and gradient-based mutation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

A new technique for assessing the diversity of close-Pareto-optimal front.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Bandelet Union Optimal Matrix Norms Constructing Lossless Watermarking.
Proceedings of the 6th International Conference on Computer Information Systems and Industrial Management Applications, 2007

Solving P2P Traffic Identification Problems Via Optimized Support Vector Machines.
Proceedings of the 2007 IEEE/ACS International Conference on Computer Systems and Applications (AICCSA 2007), 2007

2006
Solving the App-Level Classification Problem of P2P Traffic Via Optimized Support Vector Machines.
Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006

Both robust computation and mutation operation in dynamic evolutionary algorithm are based on orthogonal design.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006


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