Handing Wang

According to our database1, Handing Wang authored at least 34 papers between 2013 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

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

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


  Loading...