Ke Li
Orcid: 0000-0001-7200-4244Affiliations:
- University of Exeter, College of Engineering, Mathematics and Physical Sciences, UK (since 2016)
- University of Birmingham, UK (2015 - 2016)
- Michigan State University, East Lansing, MI, USA (2014 - 2015)
- City University of Hong Kong, Hong Kong (PhD 2014)
- Xiangtan University, Institute of Information Engineering, Hunan, China (2003 - 2010)
According to our database1,
Ke Li
authored at least 114 papers
between 2009 and 2024.
Collaborative distances:
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Bibliography
2024
A Multipopulation Evolutionary Algorithm Using New Cooperative Mechanism for Solving Multiobjective Problems With Multiconstraint.
IEEE Trans. Evol. Comput., February, 2024
2023
IEEE Trans. Emerg. Top. Comput. Intell., April, 2023
IEEE Trans. Neural Networks Learn. Syst., March, 2023
Batched Data-Driven Evolutionary Multiobjective Optimization Based on Manifold Interpolation.
IEEE Trans. Evol. Comput., February, 2023
MTLP-JR: Multi-task learning-based prediction for joint ranking in neural architecture search.
Comput. Electr. Eng., January, 2023
IEEE Trans. Evol. Comput., 2023
CoRR, 2023
Empirical Studies of Resampling Strategies in Noisy Evolutionary Multi-Objective Optimization.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Multioutput Surrogate Assisted Evolutionary Algorithm for Expensive Multi-Modal Optimization Problems.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Proceedings of the Evolutionary Multi-Criterion Optimization, 2023
Data-Driven Evolutionary Multi-objective Optimization Based on Multiple-Gradient Descent for Disconnected Pareto Fronts.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2023
Black-Box Sparse Adversarial Attack via Multi-Objective Optimisation CVPR Proceedings.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
A Surrogate Assisted Evolutionary Strategy for Image Approximation by Density-Ratio Estimation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
2022
IEEE Trans. Evol. Comput., 2022
Transfer Learning-Based Parallel Evolutionary Algorithm Framework for Bilevel Optimization.
IEEE Trans. Evol. Comput., 2022
Distributed UAV Swarm Formation and Collision Avoidance Strategies Over Fixed and Switching Topologies.
IEEE Trans. Cybern., 2022
Preference based multi-objective reinforcement learning for multi-microgrid system optimization problem in smart grid.
Memetic Comput., 2022
A Data-Driven Evolutionary Transfer Optimization for Expensive Problems in Dynamic Environments.
CoRR, 2022
CoRR, 2022
Attention-Based Genetic Algorithm for Adversarial Attack in Natural Language Processing.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022
Do We Really Need to Use Constraint Violation in Constrained Evolutionary Multi-objective Optimization?
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
2021
Vertical distance-based clonal selection mechanism for the multiobjective immune algorithm.
Swarm Evol. Comput., 2021
Inf. Sci., 2021
TND-NAS: Towards Non-differentiable Objectives in Progressive Differentiable NAS Framework.
CoRR, 2021
Batched Data-Driven Evolutionary Multi-Objective Optimization Based on Manifold Interpolation.
CoRR, 2021
Evolutionary Multi-Objective Virtual Network Function Placement: A Formal Model and Effective Algorithms.
CoRR, 2021
An Enhancement of the NSGA-II Reliability Optimization Using Extended Kalman Filter Based Initialization.
Proceedings of the Advances in Computational Intelligence Systems, 2021
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Transfer Bayesian Optimization for Expensive Black-Box Optimization in Dynamic Environment.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Empirical study of correlations in the fitness landscapes of combinatorial optimization problems.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Multi-objective Reinforcement Learning Based Multi-microgrid System Optimisation Problem.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021
An Improved Two-Archive Evolutionary Algorithm for Constrained Multi-objective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021
Parallel Algorithms for the Multiobjective Virtual Network Function Placement Problem.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021
Empirical Studies on the Role of the Decision Maker in Interactive Evolutionary Multi-Objective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
Does Preference Always Help? A Holistic Study on Preference-Based Evolutionary Multiobjective Optimization Using Reference Points.
IEEE Trans. Evol. Comput., 2020
IEEE Trans. Cybern., 2020
Surrogate Assisted Evolutionary Algorithm for Medium Scale Expensive Multi-Objective Optimisation Problems.
CoRR, 2020
Understanding the Automated Parameter Optimization on Transfer Learning for CPDP: An Empirical Study.
CoRR, 2020
Search-Based Software Engineering for Self-Adaptive Systems: One Survey, Five Disappointments and Six Opportunities.
CoRR, 2020
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020
BiLO-CPDP: Bi-Level Programming for Automated Model Discovery in Cross-Project Defect Prediction.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020
Proceedings of the ISSTA '20: 29th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2020
Understanding the automated parameter optimization on transfer learning for cross-project defect prediction: an empirical study.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020
Proceedings of the IEEE Global Communications Conference, 2020
Surrogate assisted evolutionary algorithm for medium scale multi-objective optimisation problems.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Decomposition multi-objective optimisation: current developments and future opportunities.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2020
Surrogate Assisted Evolutionary Algorithm Based on Transfer Learning for Dynamic Expensive Multi-Objective Optimisation Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
Interactive Decomposition Multiobjective Optimization Via Progressively Learned Value Functions.
IEEE Trans. Fuzzy Syst., 2019
Learning to Decompose: A Paradigm for Decomposition-Based Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2019
IEEE Trans. Evol. Comput., 2019
A knee-point-based evolutionary algorithm using weighted subpopulation for many-objective optimization.
Swarm Evol. Comput., 2019
Does Preference Always Help? A Holistic Study on Preference-Based Evolutionary Multi-Objective Optimisation Using Reference Points.
CoRR, 2019
Security testing of web applications: a search-based approach for detecting SQL injection vulnerabilities.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019
A Formal Model for Multi-objective Optimisation of Network Function Virtualisation Placement.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019
Which Surrogate Works for Empirical Performance Modelling? A Case Study with Differential Evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Visualisation of Pareto Front Approximation: A Short Survey and Empirical Comparisons.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
FEMOSAA: Feature-Guided and Knee-Driven Multi-Objective Optimization for Self-Adaptive Software.
ACM Trans. Softw. Eng. Methodol., 2018
R-Metric: Evaluating the Performance of Preference-Based Evolutionary Multiobjective Optimization Using Reference Points.
IEEE Trans. Evol. Comput., 2018
Evolutionary Multiobjective Optimization-Based Multimodal Optimization: Fitness Landscape Approximation and Peak Detection.
IEEE Trans. Evol. Comput., 2018
IEEE Trans. Evol. Comput., 2018
IEEE Trans. Cybern., 2018
Interactive Decomposition Multi-Objective Optimization via Progressively Learned Value Functions.
CoRR, 2018
Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018
Decomposition multi-objective optimisation: current developments and future opportunities.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
2017
Matching-Based Selection With Incomplete Lists for Decomposition Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2017
Efficient Nondomination Level Update Method for Steady-State Evolutionary Multiobjective Optimization.
IEEE Trans. Cybern., 2017
CoRR, 2017
Adaptive weights generation for decomposition-based multi-objective optimization using Gaussian process regression.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Empirical Investigations of Reference Point Based Methods When Facing a Massively Large Number of Objectives: First Results.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017
2016
Neurocomputing, 2016
Adaptive Two-Level Matching-Based Selection for Decomposition Multi-Objective Optimization.
CoRR, 2016
CoRR, 2016
FEMOSAA: Feature Guided and Knee Driven Multi-Objective Optimization for Self-Adaptive Software at Runtime.
CoRR, 2016
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016
2015
An Evolutionary Many-Objective Optimization Algorithm Based on Dominance and Decomposition.
IEEE Trans. Evol. Comput., 2015
IEEE Trans. Cybern., 2015
Inf. Sci., 2015
Neurocomputing, 2015
Network distance prediction for enabling service-oriented applications over large-scale networks.
IEEE Commun. Mag., 2015
Proceedings of the 2015 IEEE International Conference on Systems, 2015
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
2014
IEEE Trans. Evol. Comput., 2014
Adaptive Operator Selection With Bandits for a Multiobjective Evolutionary Algorithm Based on Decomposition.
IEEE Trans. Evol. Comput., 2014
Evolutionary Algorithms With Segment-Based Search for Multiobjective Optimization Problems.
IEEE Trans. Cybern., 2014
A general framework for evolutionary multiobjective optimization via manifold learning.
Neurocomputing, 2014
AN indicator-based selection multi-objective evolutionary algorithm with preference for multi-class ensemble.
Proceedings of the 2014 International Conference on Machine Learning and Cybernetics, 2014
2013
Learning paradigm based on jumping genes: A general framework for enhancing exploration in evolutionary multiobjective optimization.
Inf. Sci., 2013
2012
Achieving balance between proximity and diversity in multi-objective evolutionary algorithm.
Inf. Sci., 2012
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012
A weighted voting method using minimum square error based on Extreme Learning Machine.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2012
2011
Combining interpretable fuzzy rule-based classifiers via multi-objective hierarchical evolutionary algorithm.
Proceedings of the IEEE International Conference on Systems, 2011
Multi-Objective Differential Evolution with Adaptive Control of Parameters and Operators.
Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
2010
Enhancing Diversity for Average Ranking Method in Evolutionary Many-Objective Optimization.
Proceedings of the Parallel Problem Solving from Nature, 2010
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
2009
Proceedings of the IEEE International Conference on Systems, 2009
An Spanning Tree Based Method For Pruning Non-Dominated Solutions in Multi-Objective Optimization Problems.
Proceedings of the IEEE International Conference on Systems, 2009
Objective Reduction Based on the Least Square Method for Large-Dimensional Multi-objective Optimization Problem.
Proceedings of the Fifth International Conference on Natural Computation, 2009
Proceedings of the Fifth International Conference on Natural Computation, 2009
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009