Chao-Li Sun
Orcid: 0000-0002-8011-8222
According to our database1,
Chao-Li Sun authored at least 87 papers
between 2009 and 2026.
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Bibliography
2026
IEEE Trans. Evol. Comput., April, 2026
Expensive Many-Objective Evolutionary Optimization With a Self-Adaptive Surrogate Model.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2026
IEEE Trans. Syst. Man Cybern. Syst., January, 2026
A surrogate-assisted evolutionary algorithm with multi-perspective infill sampling for expensive super-many-objective optimization problems.
Swarm Evol. Comput., 2026
Surrogate-assisted cooperative coevolutionary optimization with a new grouping strategy for large-scale expensive problems.
Complex Intell. Syst., 2026
2025
Expensive Multiobjective Optimization With Adaptive Contribution Sampling and Enhanced Search.
IEEE Trans. Syst. Man Cybern. Syst., December, 2025
Efficient Large-Scale Expensive Optimization via Surrogate-Assisted Subproblem Selection.
IEEE Trans. Evol. Comput., October, 2025
Time-Varying Nonparametric Remaining Useful Life of Systems Based on Adaptive Kernel Auxiliary Particle Filter.
IEEE Trans. Instrum. Meas., 2025
RUL Prediction of Adaptive Kernel Particle Filtering Based on Time-Varying Fading Factor Considering Dynamic External Environment.
IEEE Trans. Instrum. Meas., 2025
Efficient configuration of high-dimensional hyperparameters in deep convolutional neural networks for classification assisted by surrogate models.
Swarm Evol. Comput., 2025
Heterogeneous approximation-assisted search for expensive multi-objective optimization.
Swarm Evol. Comput., 2025
A surrogate-assisted evolutionary algorithm with solution sets classification based on inter-dimensional correlation and its applications.
Expert Syst. Appl., 2025
Surrogate-assisted large-scale expensive optimization enhanced by local exploitation.
Complex Intell. Syst., 2025
A semi-supervised learning technique assisted multi-objective evolutionary algorithm for computationally expensive problems.
Complex Intell. Syst., 2025
EPICS: error-preserved and interpolation-corrected surrogate-assisted particle swarm optimization for complex optimization.
Complex Intell. Syst., 2025
Dependent Task Offloading in Cloud-Edge-End Environments with Communication Heterogeneity.
Proceedings of the Optimization and Learning - 8th International Conference, 2025
An Improved NSGA-III Algorithm for Solving High-Dimensional Many-Objective Flexible Job Shop Scheduling Problem.
Proceedings of the Optimization and Learning - 8th International Conference, 2025
A Large-Scale Expensive Multi-Objective Optimization Algorithm Assisted By Multiple Subproblems Collaboration.
Proceedings of the IEEE Congress on Evolutionary Computation, 2025
Proceedings of the IEEE Congress on Evolutionary Computation, 2025
Surrogate-Assisted Evolutionary Neural Architecture Search with Architecture Knowledge Transfer.
Proceedings of the IEEE Congress on Evolutionary Computation, 2025
A Preference-Guided Multi-Objective Recommendation Algorithm with an Adaptive Tchebycheff Environmental Selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2025
2024
Enhancing surrogate-assisted evolutionary optimization for medium-scale expensive problems: a two-stage approach with unsupervised feature learning and Q-learning.
Neural Comput. Appl., September, 2024
Expensive many-objective evolutionary optimization guided by two individual infill criteria.
Memetic Comput., March, 2024
Multim. Syst., February, 2024
Dual-drive collaboration surrogate-assisted evolutionary algorithm by coupling feature reduction and reconstruction.
Complex Intell. Syst., 2024
A Multi-modal Multi-objective Evolutionary Algorithm Based on Multi-criteria Grouping.
Proceedings of the Advances in Swarm Intelligence, 2024
Proceedings of the Advances in Swarm Intelligence, 2024
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024
Surrogate-Assisted Particle Swarm Optimization with Dual-Subspace Search for Large-Scale Expensive Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
Surrogate Assisted Large-Scale Expensive Optimization With Difference-Based Infill Criterion.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
2023
A performance approximation assisted expensive many-objective evolutionary algorithm.
Inf. Sci., May, 2023
A Performance Indicator-Based Infill Criterion for Expensive Multi-/Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2023
Big Data Min. Anal., 2023
Particle Swarm Optimization with Ring Topology for Multi-modal Multi-objective Problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
A New Infill Criterion Based on Sorting of Approximation Uncertainty for Expensive Evolutionary Many-objective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
2022
Inf. Sci., 2022
Complex Syst. Model. Simul., 2022
A decomposition-based many-objective evolutionary algorithm with optional performance indicators.
Complex Intell. Syst., 2022
Complex Intell. Syst., 2022
Multiple infill criterion-assisted hybrid evolutionary optimization for medium-dimensional computationally expensive problems.
Complex Intell. Syst., 2022
Multi-surrogate assisted binary particle swarm optimization algorithm and its application for feature selection.
Appl. Soft Comput., 2022
2021
IEEE Trans. Evol. Comput., 2021
Knowl. Based Syst., 2021
Non-dominated sorting on performance indicators for evolutionary many-objective optimization.
Inf. Sci., 2021
2020
Proceedings of the High-Performance Simulation-Based Optimization, 2020
Granularity-based surrogate-assisted particle swarm optimization for high-dimensional expensive optimization.
Knowl. Based Syst., 2020
An efficient surrogate-assisted quasi-affine transformation evolutionary algorithm for expensive optimization problems.
Knowl. Based Syst., 2020
Knowl. Based Syst., 2020
Truncation-learning-driven surrogate assisted social learning particle swarm optimization for computationally expensive problem.
Appl. Soft Comput., 2020
A Surrogate-Assisted Evolutionary Algorithm with Random Feature Selection for Large-Scale Expensive Problems.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020
2019
Guest Editorial: Special Issue on Computational Intelligence in Data-Driven Optimization.
IEEE Trans. Emerg. Top. Comput. Intell., 2019
IEEE Trans. Evol. Comput., 2019
Multiobjective Infill Criterion Driven Gaussian Process-Assisted Particle Swarm Optimization of High-Dimensional Expensive Problems.
IEEE Trans. Evol. Comput., 2019
A comparison of quality measures for model selection in surrogate-assisted evolutionary algorithm.
Soft Comput., 2019
A generation-based optimal restart strategy for surrogate-assisted social learning particle swarm optimization.
Knowl. Based Syst., 2019
A modified extended particle swarm optimisation algorithm to solve the directing orbits of chaotic systems.
Int. J. Inf. Commun. Technol., 2019
Bayesian Approaches to Surrogate-Assisted Evolutionary Multi-objective Optimization: A Comparative Study.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
A Multi-indicator based Selection Strategy for Evolutionary Many-objective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
A New Selection Strategy for Decomposition-based Evolutionary Many-Objective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
Adaptive Information Granulation in Fitness Estimation for Evolutionary Optimization.
Wirel. Pers. Commun., 2018
A fitness approximation assisted competitive swarm optimizer for large scale expensive optimization problems.
Memetic Comput., 2018
Semi-supervised learning assisted particle swarm optimization of computationally expensive problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
2017
Surrogate-Assisted Cooperative Swarm Optimization of High-Dimensional Expensive Problems.
IEEE Trans. Evol. Comput., 2017
Robotics Auton. Syst., 2017
Optimized phase-space reconstruction for accurate musical-instrument signal classification.
Multim. Tools Appl., 2017
Comparisons of different kernels in Kriging-assisted evolutionary expensive optimization.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the 13th International Conference on Natural Computation, 2017
Clustering-based evolution control for surrogate-assisted particle swarm optimization.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
An adaptive model selection strategy for surrogate-assisted particle swarm optimization algorithm.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
A self-adaptive similarity-based fitness approximation for evolutionary optimization.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Fitness Estimation Strategy Assisted Competitive Swarm Optimizer for High Dimensional Expensive Problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
2015
Soft Comput., 2015
2014
Similarity- and reliability-assisted fitness estimation for particle swarm optimization of expensive problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
Similarity-based evolution control for fitness estimation in particle swarm optimization.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2013
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
2011
J. Comput., 2011
An improved vector particle swarm optimization for constrained optimization problems.
Inf. Sci., 2011
Proceedings of the First International Conference on Robot, Vision and Signal Processing, 2011
Solving Constrained Optimization Problems by an Improved Particle Swarm Optimization.
Proceedings of the Second International Conference on Innovations in Bio-inspired Computing and Applications, 2011
2009
An Improved Particle Swarm Optimization with Feasibility-Based Rules for Constrained Optimization Problems.
Proceedings of the Next-Generation Applied Intelligence, 2009
A Particle Swarm Optimization with Feasibility-Based Rules for Mixed-Variable Optimization Problems.
Proceedings of the 9th International Conference on Hybrid Intelligent Systems (HIS 2009), 2009
Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, 2009