Chao-Li Sun

Orcid: 0000-0002-8011-8222

According to our database1, Chao-Li Sun authored at least 51 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Expensive many-objective evolutionary optimization guided by two individual infill criteria.
Memetic Comput., March, 2024

A multi-layer mesh synchronized reversible data hiding algorithm on the 3D model.
Multim. Syst., February, 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

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
Surrogate ensemble assisted large-scale expensive optimization with random grouping.
Inf. Sci., 2022

Multi-surrogate assisted binary particle swarm optimization algorithm and its application for feature selection.
Appl. Soft Comput., 2022

2021
Large-Scale Evolutionary Multiobjective Optimization Assisted by Directed Sampling.
IEEE Trans. Evol. Comput., 2021

A surrogate-ensemble assisted expensive many-objective optimization.
Knowl. Based Syst., 2021

Non-dominated sorting on performance indicators for evolutionary many-objective optimization.
Inf. Sci., 2021

2020
Surrogate-Assisted Evolutionary Optimization of Large Problems.
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

Multi-surrogate multi-tasking optimization of expensive problems.
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

Offline Data-Driven Evolutionary Optimization Using Selective Surrogate Ensembles.
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

Surrogate-assisted hierarchical particle swarm optimization.
Inf. Sci., 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

Bio-inspired self-organising multi-robot pattern formation: A review.
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

Single channel blind source separation using optimized local mean decomposition.
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
A two-layer surrogate-assisted particle swarm optimization algorithm.
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
A new fitness estimation strategy for particle swarm optimization.
Inf. Sci., 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

A multi-swarm evolutionary framework based on a feedback mechanism.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2011
The Structure Optimization of Main Beam for Bridge Crane Based on An Improved PSO.
J. Comput., 2011

An improved vector particle swarm optimization for constrained optimization problems.
Inf. Sci., 2011

PSO with Constraint-Preserving Mechanism for Mixed-Variable Optimization Problems.
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

A New Vector Particle Swarm Optimization for Constrained Optimization Problems.
Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, 2009


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