Handing Wang
Orcid: 0000-0002-4805-3780
According to our database1,
Handing Wang
authored at least 85 papers
between 2013 and 2024.
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Bibliography
2024
Balancing Objective Optimization and Constraint Satisfaction in Expensive Constrained Evolutionary Multiobjective Optimization.
IEEE Trans. Evol. Comput., October, 2024
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
Formulating approximation error as noise in surrogate-assisted multi-objective evolutionary algorithm.
Swarm Evol. Comput., 2024
A noise-resistant infill sampling criterion in surrogate-assisted multi-objective evolutionary algorithms.
Swarm Evol. Comput., 2024
Efficient adversarial training with multi-fidelity optimization for robust neural network.
Neurocomputing, 2024
Exploring Knowledge Transfer in Evolutionary Many-task Optimization: A Complex Network Perspective.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective.
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the IEEE Conference on Games, 2024
Multi-Population Evolutionary Algorithm via Seed Transfer for Multitasking Traveling Salesman Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
Empirical Study on Averaging-based Noise-Tolerant Methods for Expensive Combinatorial Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
Infill Criterion Ensemble in Multi-Objective Evolutionary Algorithm for Mixed-Variable Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
QRPatch: A Deceptive Texture-Based Black-Box Adversarial Attacks with Genetic Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
Test Suites and Performance of Algorithms in Large-Scale Multiobjective Evolutionary Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 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
Swarm Evol. Comput., 2023
Pattern Recognit., 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
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
IEEE Trans. Evol. Comput., 2021
Swarm Evol. Comput., 2021
A random forest assisted evolutionary algorithm using competitive neighborhood search for expensive constrained combinatorial optimization.
Memetic Comput., 2021
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
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
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
IEEE Trans. Evol. Comput., 2019
A Classification-Based Surrogate-Assisted Evolutionary Algorithm for Expensive Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2019
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
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
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
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
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
Soft Comput., 2016
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
IEEE Trans. Evol. Comput., 2015
Evol. Comput., 2015
2014
2013
Inf. Sci., 2013