Hui Li

Orcid: 0000-0002-5357-2438

Affiliations:
  • Xi'an Jiaotong University, School of Mathematics and Statistics, China
  • University of Nottingham, School of Computer Science, UK (2007 - 2010)
  • University of Essex, Colchester, UK (PhD 2008)


According to our database1, Hui Li authored at least 39 papers between 2004 and 2024.

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Bibliography

2024
Approximating robust Pareto fronts by the MEOF-based multiobjective evolutionary algorithm with two-level surrogate models.
Inf. Sci., February, 2024

2023
A Modified MOEA/D Based on Guided Search Directions for Large-scale Multiobjective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

The Combination of MOEA/D and WOF for Solving High-Dimensional Expensive Multiobjective Optimization Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

2021
Approximating Pareto Fronts in Evolutionary Multiobjective Optimization with Large Population Size.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

2020
Difficulty Adjustable and Scalable Constrained Multiobjective Test Problem Toolkit.
Evol. Comput., 2020

2019
Variable-Length Pareto Optimization via Decomposition-Based Evolutionary Multiobjective Algorithm.
IEEE Trans. Evol. Comput., 2019

Comparison between MOEA/D and NSGA-III on a set of novel many and multi-objective benchmark problems with challenging difficulties.
Swarm Evol. Comput., 2019

Adaptive Epsilon dominance in decomposition-based multiobjective evolutionary algorithm.
Swarm Evol. Comput., 2019

Push and pull search for solving constrained multi-objective optimization problems.
Swarm Evol. Comput., 2019

Decomposition-based evolutionary dynamic multiobjective optimization using a difference model.
Appl. Soft Comput., 2019

A Multiobjective Approach Based on Gaussian Mixture Clustering for Sparse Reconstruction.
IEEE Access, 2019

Adjustment of Weight Vectors of Penalty-Based Boundary Intersection Method in MOEA/D.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

An Adaptive Parameter Tuning Strategy for Many-objective Evolutionary Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
A Preference-Based Multiobjective Evolutionary Approach for Sparse Optimization.
IEEE Trans. Neural Networks Learn. Syst., 2018

MOEA/D with chain-based random local search for sparse optimization.
Soft Comput., 2018

A differential prediction model for evolutionary dynamic multiobjective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017
Biased Multiobjective Optimization and Decomposition Algorithm.
IEEE Trans. Cybern., 2017

On the use of two reference points in decomposition based multiobjective evolutionary algorithms.
Swarm Evol. Comput., 2017

A New Steady-State MOEA/D for Sparse Optimization.
Proceedings of the Advances in Computational Intelligence Systems, 2017

On the Use of Dynamic Reference Points in HypE.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

A First-Order Difference Model-Based Evolutionary Dynamic Multiobjective Optimization.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Challenges for evolutionary multiobjective optimization algorithms in solving variable-length problems.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Difficulty Adjustable and Scalable Constrained Multi-objective Test Problem Toolkit.
CoRR, 2016

An improved epsilon constraint handling method embedded in MOEA/D for constrained multi-objective optimization problems.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

A multi-phase multiobjective approach based on decomposition for sparse reconstruction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Angle-based constrained dominance principle in MOEA/D for constrained multi-objective optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Balancing Convergence and Diversity by Using Two Different Reproduction Operators in MOEA/D: Some Preliminary Work.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

On the use of random weights in MOEA/D.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Multiobjective test problems with complicated Pareto fronts: Difficulties in degeneracy.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2012
MOEA/D with Iterative Thresholding Algorithm for Sparse Optimization Problems.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

2011
Multiobjective evolutionary algorithms: A survey of the state of the art.
Swarm Evol. Comput., 2011

An Adaptive Evolutionary Multi-Objective Approach Based on Simulated Annealing.
Evol. Comput., 2011

2010
MOEA/D with NBI-style Tchebycheff approach for portfolio management.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II.
IEEE Trans. Evol. Comput., 2009

The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instances.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
Combination of Evolutionary Algorithms with Decomposition Techniques for Multiobjective Optimization.
PhD thesis, 2008

2007
MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition.
IEEE Trans. Evol. Comput., 2007

2006
A Multiobjective Differential Evolution Based on Decomposition for Multiobjective Optimization with Variable Linkages.
Proceedings of the Parallel Problem Solving from Nature, 2006

2004
Hybrid Estimation of Distribution Algorithm for Multiobjective Knapsack Problem.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2004


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