Changhe Li

Orcid: 0000-0001-9222-0702

According to our database1, Changhe Li authored at least 95 papers between 2006 and 2024.

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Bibliography

2024
Any-Stereo: Arbitrary Scale Disparity Estimation for Iterative Stereo Matching.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
History-Guided Hill Exploration for Evolutionary Computation.
IEEE Trans. Evol. Comput., December, 2023

A framework of global exploration and local exploitation using surrogates for expensive optimization.
Knowl. Based Syst., November, 2023

Scalable GP with hyperparameters sharing based on transfer learning for solving expensive optimization problems.
Appl. Soft Comput., November, 2023

An experimental study on local and global optima of linear antenna array synthesis by using the sequential least squares programming.
Appl. Soft Comput., November, 2023

Contribution-Based Cooperative Co-Evolution With Adaptive Population Diversity for Large-Scale Global Optimization [Research Frontier].
IEEE Comput. Intell. Mag., August, 2023

On Nonstationary Gaussian Process Model for Solving Data-Driven Optimization Problems.
IEEE Trans. Cybern., April, 2023

An Uncertainty Measure for Prediction of Non-Gaussian Process Surrogates.
Evol. Comput., 2023

Evolutionary Dynamic Optimization Laboratory: A MATLAB Optimization Platform for Education and Experimentation in Dynamic Environments.
CoRR, 2023

Prediction of Cognitive Scores by Joint Use of Movie-Watching fMRI Connectivity and Eye Tracking via Attention-CensNet.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Nearest better network for visualization of the fitness landscape.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

A Test Suite and An Optimizer for Dietary Nutrition Optimization Problem: From Constrained Many-Objective Perspective.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

A Subspace-Based Non-Dominated Subset Selection Method.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

2022
CCFR3: A cooperative co-evolution with efficient resource allocation for large-scale global optimization.
Expert Syst. Appl., 2022

Eye-gaze-guided Vision Transformer for Rectifying Shortcut Learning.
CoRR, 2022

Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution.
CoRR, 2022

Mask-guided Vision Transformer (MG-ViT) for Few-Shot Learning.
CoRR, 2022

Benchmark Functions for CEC 2022 Competition on Seeking Multiple Optima in Dynamic Environments.
CoRR, 2022

A Multiple Ant Colony System for the Electric Vehicle Routing Problem with Time Windows.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Bridging Natruralistic Stimuli, Eye Movement And Brain Activity Via Cca And Locality Preserving Projection.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Prediction of Cognitive Scores by Movie-Watching FMRI Connectivity and Eye Movement Via Spectral Graph Convolutions.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Learning to Search Promising Regions by a Monte-Carlo Tree Model.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Solving the Electric Capacitated Vehicle Routing Problem with Cargo Weight.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Hyperparameters Adaptive Sharing Based on Transfer Learning for Scalable GPs.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
An Efficient Recursive Differential Grouping for Large-Scale Continuous Problems.
IEEE Trans. Evol. Comput., 2021

Handling Constrained Many-Objective Optimization Problems via Problem Transformation.
IEEE Trans. Cybern., 2021

Two-type weight adjustments in MOEA/D for highly constrained many-objective optimization.
Inf. Sci., 2021

Generalized Moving Peaks Benchmark.
CoRR, 2021

An Adaptive Model Management Strategy: Balancing Exploration and Exploitation.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

An Adaptive Evolutionary Algorithm for Bi- Level Multi-objective VRPs with Real-Time Traffic Conditions.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

A Reinforcement-Learning-Based Evolutionary Algorithm Using Solution Space Clustering For Multimodal Optimization Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

A Novel Scalable Framework For Constructing Dynamic Multi-objective Optimization Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
CCFR2: A more efficient cooperative co-evolutionary framework for large-scale global optimization.
Inf. Sci., 2020

Ant Colony Optimization Algorithms for Dynamic Optimization: A Case Study of the Dynamic Travelling Salesperson Problem [Research Frontier].
IEEE Comput. Intell. Mag., 2020

Modeling and Evolutionary Optimization for Multi-objective Vehicle Routing Problem with Real-time Traffic Conditions.
Proceedings of the ICMLC 2020: 2020 12th International Conference on Machine Learning and Computing, 2020

Discussion on Teaching Reform of Computer Education Major Based on Information Key Competency.
Proceedings of the 15th International Conference on Computer Science & Education, 2020

2019
An Open Framework for Constructing Continuous Optimization Problems.
IEEE Trans. Cybern., 2019

Optimising discrete dynamic berth allocations in seaports using a Levy Flight based meta-heuristic.
Swarm Evol. Comput., 2019

A complete expected improvement criterion for Gaussian process assisted highly constrained expensive optimization.
Inf. Sci., 2019

A feasible-ratio control technique for constrained optimization.
Inf. Sci., 2019

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

Parallel Ant Colony Optimization for the Electric Vehicle Routing Problem.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A Novel Multi-objective Evolutionary Algorithm Based on Space Partitioning.
Proceedings of the Artificial Intelligence Algorithms and Applications, 2019

Evolutionary Constrained Multi-objective Optimization using NSGA-II with Dynamic Constraint Handling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Memory-based multi-population genetic learning for dynamic shortest path problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
A Supervised-Learning p-Norm Distance Metric for Hyperspectral Remote Sensing Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2018

An efficient nondominated sorting algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Expected improvement of constraint violation for expensive constrained optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Dynamic constrained multi-objective evolutionary algorithms with a novel selection strategy for constrained optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017
Efficient Resource Allocation in Cooperative Co-Evolution for Large-Scale Global Optimization.
IEEE Trans. Evol. Comput., 2017

A General Framework of Dynamic Constrained Multiobjective Evolutionary Algorithms for Constrained Optimization.
IEEE Trans. Cybern., 2017

A survey of swarm intelligence for dynamic optimization: Algorithms and applications.
Swarm Evol. Comput., 2017

Many-objective optimization with dynamic constraint handling for constrained optimization problems.
Soft Comput., 2017

Dynamic multi-objective evolutionary algorithms for single-objective optimization.
Appl. Soft Comput., 2017

A Probabilistic Learning Algorithm for the Shortest Path Problem.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Typical Constrained Optimization Formulation in Evolutionary Computation Not Suitable for Expensive Optimization.
Proceedings of the Computational Intelligence and Intelligent Systems, 2017

2016
An Adaptive Multipopulation Framework for Locating and Tracking Multiple Optima.
IEEE Trans. Evol. Comput., 2016

Benchmarking Dynamic Three-Dimensional Bin Packing Problems Using Discrete-Event Simulation.
Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016

Shape Formation in Games: A Probability-Based Evolutionary Approach.
Proceedings of the 12th International Conference on Computational Intelligence and Security, 2016

Differential evolution with auto-enhanced population diversity: The experiments on the CEC'2016 competition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Memory-based statistical learning for the travelling salesman problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

An Efficient Benchmark Generator for Dynamic Optimization Problems.
Proceedings of the Bio-inspired Computing - Theories and Applications, 2016

2015
Differential Evolution With Auto-Enhanced Population Diversity.
IEEE Trans. Cybern., 2015

Multi-population methods in unconstrained continuous dynamic environments: The challenges.
Inf. Sci., 2015

A modified cuckoo search algorithm for flow shop scheduling problem with blocking.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Dynamic and random differential evolution solving constrained optimisation problems.
Int. J. Comput. Sci. Math., 2014

An Adaptive Multi-Swarm Optimizer for Dynamic Optimization Problems.
Evol. Comput., 2014

Three New Heuristic Strategies for Solving Travelling Salesman Problem.
Proceedings of the Advances in Swarm Intelligence - 5th International Conference, 2014

A dimensional-level adaptive differential evolutionary algorithm for continuous optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

An improved JADE algorithm for global optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Diversity enhanced particle swarm optimization with neighborhood search.
Inf. Sci., 2013

Evolutionary design of a wide-band twisted dipole antenna for X-band application.
Proceedings of the 2013 IEEE International Conference on Evolvable Systems, 2013

An improved adaptive differential evolution algorithm with population adaptation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012
A Self-Learning Particle Swarm Optimizer for Global Optimization Problems.
IEEE Trans. Syst. Man Cybern. Part B, 2012

A General Framework of Multipopulation Methods With Clustering in Undetectable Dynamic Environments.
IEEE Trans. Evol. Comput., 2012

Maintaining diversity by clustering in dynamic environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Particle swarm optimization in stationary and dynamic environments.
PhD thesis, 2011

2010
A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments.
IEEE Trans. Evol. Comput., 2010

A Directed Mutation Operator for Real Coded Genetic Algorithms.
Proceedings of the Applications of Evolutionary Computation, 2010

Adaptive learning particle swarm optimizer-II for global optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
A Particle Swarm Optimization Algorithm Based on Genetic Selection Strategy.
Proceedings of the Advances in Neural Networks, 2009

A clustering particle swarm optimizer for dynamic optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

An adaptive learning particle swarm optimizer for function optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
A Generalized Approach to Construct Benchmark Problems for Dynamic Optimization.
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

An Island Based Hybrid Evolutionary Algorithm for Optimization.
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

Theoretical Analysis and Experimental Evaluation Surface Morphology Integration of Grinding and Precision Finishing.
Proceedings of the PACIIA 2008, 2008

Fast Multi-Swarm Optimization for Dynamic Optimization Problems.
Proceedings of the Fourth International Conference on Natural Computation, 2008

Convergence properties of E-optimality algorithms for Many objective Optimization Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
A Hybrid Particle Swarm Algorithm with Cauchy Mutation.
Proceedings of the 2007 IEEE Swarm Intelligence Symposium, 2007

Fast Multi-swarm Optimization with Cauchy Mutation and Crossover Operation.
Proceedings of the Advances in Computation and Intelligence, 2007

A Fast Particle Swarm Optimization Algorithm with Cauchy Mutation and Natural Selection Strategy.
Proceedings of the Advances in Computation and Intelligence, 2007

A New Evolutionary Decision Theory for Many-Objective Optimization Problems.
Proceedings of the Advances in Computation and Intelligence, 2007

Opposition-based particle swarm algorithm with cauchy mutation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
A New Approach to Solving Dynamic Traveling Salesman Problems.
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

Material Removal Mechanisms Analysis in the Finishing Machining of Engineering Ceramics.
Proceedings of the Knowledge Enterprise: Intelligent Strategies in Product Design, 2006


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