Handing Wang

Orcid: 0000-0002-4805-3780

According to our database1, Handing Wang authored at least 71 papers between 2013 and 2024.

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

Timeline

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Bibliography

2024
Higher Order Knowledge Transfer for Dynamic Community Detection With Great Changes.
IEEE Trans. Evol. Comput., February, 2024

Surrogate-Assisted Environmental Selection for Fast Hypervolume-Based Many-Objective Optimization.
IEEE Trans. Evol. Comput., February, 2024

A local correlation estimation surrogate-assisted bi-objective evolutionary algorithm for heterogeneous objectives.
Appl. Soft Comput., January, 2024

2023
Surrogate-Assisted Differential Evolution With Adaptive Multisubspace Search for Large-Scale Expensive Optimization.
IEEE Trans. Evol. Comput., December, 2023

A Surrogate-Assisted Evolutionary Framework With Regions of Interests-Based Data Selection for Expensive Constrained Optimization.
IEEE Trans. Syst. Man Cybern. Syst., October, 2023

Surrogate-Assisted Evolutionary Q-Learning for Black-Box Dynamic Time-Linkage Optimization Problems.
IEEE Trans. Evol. Comput., October, 2023

Performance Indicator-Based Adaptive Model Selection for Offline Data-Driven Multiobjective Evolutionary Optimization.
IEEE Trans. Cybern., October, 2023

Surrogate-assisted multi-objective optimization via knee-oriented Pareto front estimation.
Swarm Evol. Comput., March, 2023

Surrogate-assisted hybrid evolutionary algorithm with local estimation of distribution for expensive mixed-variable optimization problems.
Appl. Soft Comput., January, 2023

Cooperative Coevolutionary CMA-ES With Landscape-Aware Grouping in Noisy Environments.
IEEE Trans. Evol. Comput., 2023

A two-stage evolutionary algorithm for noisy bi-objective optimization.
Swarm Evol. Comput., 2023

Adaptive momentum variance for attention-guided sparse adversarial attacks.
Pattern Recognit., 2023

Pre-trained transformer for adversarial purification.
CoRR, 2023

B2Opt: Learning to Optimize Black-box Optimization with Little Budget.
CoRR, 2023

Bayesian evolutionary optimization for crafting high-quality adversarial examples with limited query budget.
Appl. Soft Comput., 2023

Offline Data-Driven Mixed-Variable Optimization Algorithm Using a Step-Wise Strategy.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Adversarial Training of Deep Neural Networks Guided by Texture and Structural Information.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Sparse Gate for Differentiable Architecture Search.
Proceedings of the International Joint Conference on Neural Networks, 2023

Effects of Pareto Set on the Performance of Problem Reformulation-Based Large-Scale Multiobjective Optimization Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

2022
A Surrogate-Assisted Evolutionary Feature Selection Algorithm With Parallel Random Grouping for High-Dimensional Classification.
IEEE Trans. Evol. Comput., 2022

An Approximated Gradient Sign Method Using Differential Evolution for Black-Box Adversarial Attack.
IEEE Trans. Evol. Comput., 2022

A data augmentation based Kriging-assisted reference vector guided evolutionary algorithm for expensive dynamic multi-objective optimization.
Swarm Evol. Comput., 2022

A framework for expensive many-objective optimization with Pareto-based bi-indicator infill sampling criterion.
Memetic Comput., 2022

A surrogate-assisted evolutionary algorithm with hypervolume triggered fidelity adjustment for noisy multiobjective integer programming.
Appl. Soft Comput., 2022

2021
A Kriging-Assisted Two-Archive Evolutionary Algorithm for Expensive Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2021

A Survey of Normalization Methods in Multiobjective Evolutionary Algorithms.
IEEE Trans. Evol. Comput., 2021

Offline data-driven evolutionary optimization based on tri-training.
Swarm Evol. Comput., 2021

A random forest assisted evolutionary algorithm using competitive neighborhood search for expensive constrained combinatorial optimization.
Memetic Comput., 2021

A noisy multi-objective optimization algorithm based on mean and Wiener filters.
Knowl. Based Syst., 2021

Multi-stage dimension reduction for expensive sparse multi-objective optimization problems.
Neurocomputing, 2021

Surrogate-Assisted Evolutionary Multitasking for Expensive Minimax Optimization in Multiple Scenarios.
IEEE Comput. Intell. Mag., 2021

[Guest Editorial].
IEEE Comput. Intell. Mag., 2021

Comparative empirical study on constraint handling in offline data-driven evolutionary optimization.
Appl. Soft Comput., 2021

A Bi-Population Based Multi-Objective Evolutionary Algorithm Using Hybrid Identification Method for Finding Knee Points.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Regression versus Classification for Predicting Feasibility in Offline Data- Driven Evolutionary Constrained Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Pareto-Based Bi-indicator Infill Sampling Criterion for Expensive Multiobjective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

A Max-Min Ant System based on Decomposition for the Multi-Depot Cumulative Capacitated Vehicle Routing Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Improved Population Prediction Strategy for Dynamic Multi-Objective Optimization Algorithms Using Transfer Learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

An Adaptive Formulation-based Many-Objective Evolutionary Algorithm for Multi-Scenario Optimization in Data Enrichment.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Surrogate-Assisted Evolutionary Optimization of Large Problems.
Proceedings of the High-Performance Simulation-Based Optimization, 2020

Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor.
IEEE Trans. Evol. Comput., 2020

A Random Forest-Assisted Evolutionary Algorithm for Data-Driven Constrained Multiobjective Combinatorial Optimization of Trauma Systems.
IEEE Trans. Cybern., 2020

Transfer stacking from low-to high-fidelity: A surrogate-assisted bi-fidelity evolutionary algorithm.
Appl. Soft Comput., 2020

A Preliminary Study of Improving Evolutionary Multi-Objective Optimization via Knowledge Transfer from Single-Objective Problems.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

A Kriging-Assisted Evolutionary Algorithm Using Feature Selection for Expensive Sparse Multi-Objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Evolutionary Optimized Multiple Instance Concept Learning for Beat-to-Beat Heart Rate Estimation from Electrocardiograms.
Proceedings of the 13th International Congress on Image and Signal Processing, 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

A Classification-Based Surrogate-Assisted Evolutionary Algorithm for Expensive Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2019

Data-Driven Evolutionary Optimization: An Overview and Case Studies.
IEEE Trans. Evol. Comput., 2019

Multimodal Optimization Enhanced Cooperative Coevolution for Large-Scale Optimization.
IEEE Trans. Cybern., 2019

Compact arbitrary terminated power divider with bandwidth-enhanced negative group delay characteristics.
Int. J. Circuit Theory Appl., 2019

Steady-State Brain Storm Optimization Using Double Roulette Selection.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Stochastic Ranking for Offline Data-Driven Evolutionary Optimization Using Radial Basis Function Networks with Multiple Kernels.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Multi-Objective Evolutionary Metric Learning for Image Retrieval Using Convolutional Neural Network Features.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
A Generic Test Suite for Evolutionary Multifidelity Optimization.
IEEE Trans. Evol. Comput., 2018

Hierarchical Surrogate-Assisted Evolutionary Multi-Scenario Airfoil Shape Optimization.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Diversity Assessment in Many-Objective Optimization.
IEEE Trans. Cybern., 2017

Committee-Based Active Learning for Surrogate-Assisted Particle Swarm Optimization of Expensive Problems.
IEEE Trans. Cybern., 2017

Nadir point estimation for many-objective optimization problems based on emphasized critical regions.
Soft Comput., 2017

Recent advances in semantic computing and personalization.
Neurocomputing, 2017

Efficient nonlinear correlation detection for decomposed search in evolutionary multi-objective optimization.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Data-Driven Surrogate-Assisted Multiobjective Evolutionary Optimization of a Trauma System.
IEEE Trans. Evol. Comput., 2016

Regularity Model for Noisy Multiobjective Optimization.
IEEE Trans. Cybern., 2016

Objective reduction based on nonlinear correlation information entropy.
Soft Comput., 2016

Uncertainty in Surrogate Models.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Surrogate-Assisted Evolutionary Optimisation (SAEOpt'16) Chairs' Welcome & Organization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2015
Two_Arch2: An Improved Two-Archive Algorithm for Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2015

A Memetic Optimization Strategy Based on Dimension Reduction in Decision Space.
Evol. Comput., 2015

2014
Corner Sort for Pareto-Based Many-Objective Optimization.
IEEE Trans. Cybern., 2014

2013
A co-evolutionary multi-objective optimization algorithm based on direction vectors.
Inf. Sci., 2013


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