Hybrid Estimation of Distribution Algorithm for Multiobjective Knapsack Problem. - Hui Li 020; Qingfu Zhang 001; Edward P. K. Tsang; John A. Ford (EvoCOP, 2004)

A Multiobjective Differential Evolution Based on Decomposition for Multiobjective Optimization with Variable Linkages. - Hui Li 020; Qingfu Zhang 001 (PPSN, 2006)

MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition. - Qingfu Zhang 001; Hui Li 020 (IEEE Trans. Evol. Comput., 2007)

Evolutionary Multi-objective Simulated Annealing with adaptive and competitive search direction. - Hui Li 020; Dario Landa Silva (IEEE Congress on Evolutionary Computation, 2008)

Combination of Evolutionary Algorithms with Decomposition Techniques for Multiobjective Optimization. - Hui Li 020 (2008)

The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instances. - Qingfu Zhang 001; Wudong Liu; Hui Li 020 (IEEE Congress on Evolutionary Computation, 2009)

An Improved Version of Volume Dominance for Multi-Objective Optimisation. - Khoi Le; Dario Landa Silva; Hui Li 020 (EMO, 2009)

An Elitist GRASP Metaheuristic for the Multi-objective Quadratic Assignment Problem. - Hui Li 020; Dario Landa Silva (EMO, 2009)

Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II. - Hui Li 020; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2009)

Evolutionary multi-objective optimization algorithms with probabilistic representation based on pheromone trails. - Hui Li 020; Dario Landa Silva; Xavier Gandibleux (IEEE Congress on Evolutionary Computation, 2010)

MOEA/D with NBI-style Tchebycheff approach for portfolio management. - Qingfu Zhang 001; Hui Li 020; Dietmar Maringer; Edward P. K. Tsang (IEEE Congress on Evolutionary Computation, 2010)

An Adaptive Evolutionary Multi-Objective Approach Based on Simulated Annealing. - Hui Li 020; Dario Landa-Silva (Evol. Comput., 2011)

Multiobjective evolutionary algorithms: A survey of the state of the art. - Aimin Zhou; Bo-Yang Qu; Hui Li 020; Shi-Zheng Zhao; Ponnuthurai Nagaratnam Suganthan; Qingfu Zhang 001 (Swarm Evol. Comput., 2011)

MOEA/D with Iterative Thresholding Algorithm for Sparse Optimization Problems. - Hui Li 020; Xiaolei Su; Zongben Xu; Qingfu Zhang 001 (PPSN (2), 2012)

Multiobjective test problems with complicated Pareto fronts: Difficulties in degeneracy. - Hui Li 020; Qingfu Zhang 001; Jingda Deng (IEEE Congress on Evolutionary Computation, 2014)

On the use of random weights in MOEA/D. - Hui Li 020; Min Ding; Jingda Deng; Qingfu Zhang 001 (CEC, 2015)

Balancing Convergence and Diversity by Using Two Different Reproduction Operators in MOEA/D: Some Preliminary Work. - Zhenkun Wang 001; Qingfu Zhang 001; Hui Li 020 (SMC, 2015)

Angle-based constrained dominance principle in MOEA/D for constrained multi-objective optimization problems. - Zhun Fan; Wenji Li; Xinye Cai; Kaiwen Hu; Huibiao Lin; Hui Li 020 (CEC, 2016)

A multi-phase multiobjective approach based on decomposition for sparse reconstruction. - Hui Li 020; Yuanyuan Fan; Qingfu Zhang 001; Zongben Xu; Jingda Deng (CEC, 2016)

An improved epsilon constraint handling method embedded in MOEA/D for constrained multi-objective optimization problems. - Zhun Fan; Hui Li 020; Caimin Wei; Wenji Li; Han Huang 002; Xinye Cai; Zhaoquan Cai 001 (SSCI, 2016)

Difficulty Adjustable and Scalable Constrained Multi-objective Test Problem Toolkit. - Zhun Fan; Wenji Li; Xinye Cai; Hui Li 020; Kaiwen Hu; Qingfu Zhang 001; Kalyanmoy Deb; Erik D. Goodman (CoRR, 2016)

Challenges for evolutionary multiobjective optimization algorithms in solving variable-length problems. - Hui Li 020; Kalyanmoy Deb (CEC, 2017)

A First-Order Difference Model-Based Evolutionary Dynamic Multiobjective Optimization. - Leilei Cao; Lihong Xu; Erik D. Goodman; Hui Li 020 (SEAL, 2017)

On the Use of Dynamic Reference Points in HypE. - Jingda Deng; Qingfu Zhang 001; Hui Li 020 (SEAL, 2017)

A New Steady-State MOEA/D for Sparse Optimization. - Hui Li 020; Jianyong Sun; Yuanyuan Fan; Mingyang Wang; Qingfu Zhang 001 (UKCI, 2017)

An improved MOEA/D algorithm for multi-objective multicast routing with network coding. - Huanlai Xing; Zhaoyuan Wang; Tianrui Li 001; Hui Li 020; Rong Qu (Appl. Soft Comput., 2017)

On the use of two reference points in decomposition based multiobjective evolutionary algorithms. - Zhenkun Wang 001; Qingfu Zhang 001; Hui Li 020; Hisao Ishibuchi; Licheng Jiao (Swarm Evol. Comput., 2017)

Biased Multiobjective Optimization and Decomposition Algorithm. - Hui Li 020; Qingfu Zhang 001; Jingda Deng (IEEE Trans. Cybern., 2017)

A differential prediction model for evolutionary dynamic multiobjective optimization. - Leilei Cao; Lihong Xu; Erik D. Goodman; Shuwei Zhu; Hui Li 020 (GECCO, 2018)

MOEA/D with chain-based random local search for sparse optimization. - Hui Li 020; Jianyong Sun; Mingyang Wang; Qingfu Zhang 001 (Soft Comput., 2018)

A Preference-Based Multiobjective Evolutionary Approach for Sparse Optimization. - Hui Li 020; Qingfu Zhang 001; Jingda Deng; Zong-Ben Xu (IEEE Trans. Neural Networks Learn. Syst., 2018)

An Adaptive Parameter Tuning Strategy for Many-objective Evolutionary Algorithm. - Wei Zheng 004; Jianyong Sun; Hui Li 020 (CEC, 2019)

Adjustment of Weight Vectors of Penalty-Based Boundary Intersection Method in MOEA/D. - Hui Li 020; Jianyong Sun; Qingfu Zhang 001; Yuxiang Shui (EMO, 2019)

A Multiobjective Approach Based on Gaussian Mixture Clustering for Sparse Reconstruction. - Hui Li 020; Jianyong Sun; Deyu Meng; Qinfu Zhang (IEEE Access, 2019)

Decomposition-based evolutionary dynamic multiobjective optimization using a difference model. - Leilei Cao; Lihong Xu; Erik D. Goodman; Hui Li 020 (Appl. Soft Comput., 2019)

Push and pull search for solving constrained multi-objective optimization problems. - Zhun Fan; Wenji Li; Xinye Cai; Hui Li 020; Caimin Wei; Qingfu Zhang 001; Kalyanmoy Deb; Erik D. Goodman (Swarm Evol. Comput., 2019)

Adaptive Epsilon dominance in decomposition-based multiobjective evolutionary algorithm. - Hui Li 020; Jingda Deng; Qingfu Zhang 001; Jianyong Sun (Swarm Evol. Comput., 2019)

Comparison between MOEA/D and NSGA-III on a set of novel many and multi-objective benchmark problems with challenging difficulties. - Hui Li 020; Kalyanmoy Deb; Qingfu Zhang 001; Ponnuthurai N. Suganthan; Lei Chen 044 (Swarm Evol. Comput., 2019)

Variable-Length Pareto Optimization via Decomposition-Based Evolutionary Multiobjective Algorithm. - Hui Li 020; Kalyanmoy Deb; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2019)

Difficulty Adjustable and Scalable Constrained Multiobjective Test Problem Toolkit. - Zhun Fan; Wenji Li; Xinye Cai; Hui Li 020; Caimin Wei; Qingfu Zhang 001; Kalyanmoy Deb; Erik D. Goodman (Evol. Comput., 2020)

Approximating Pareto Fronts in Evolutionary Multiobjective Optimization with Large Population Size. - Hui Li 020; Yuxiang Shui; Jianyong Sun; Qingfu Zhang 001 (EMO, 2021)

The Combination of MOEA/D and WOF for Solving High-Dimensional Expensive Multiobjective Optimization Problems. - Yuxiang Shui; Hui Li 020; Jianyong Sun; Qingfu Zhang 001 (CEC, 2023)

A Modified MOEA/D Based on Guided Search Directions for Large-scale Multiobjective Optimization. - Yanhui Tang; Hui Li 020; Yuxiang Shui; Jianyong Sun (CEC, 2023)

Approximating robust Pareto fronts by the MEOF-based multiobjective evolutionary algorithm with two-level surrogate models. - Yuxiang Shui; Hui Li 020; Jianyong Sun; Qingfu Zhang 001 (Inf. Sci., 2024)

Self-Bidirectional Decoupled Distillation for Time Series Classification. - Zhiwen Xiao; Huanlai Xing; Rong Qu; Hui Li 020; Li Feng; Bowen Zhao 002; Jiayi Yang (IEEE Trans. Artif. Intell., 2024)

A Fast Exact Algorithm for Computing the Hypervolume Contributions in 4-D Space. - Jingda Deng; Qingfu Zhang 001; Jianyong Sun; Hui Li 020 (IEEE Trans. Evol. Comput., 2024)

Expected Hypervolume Improvement Is a Particular Hypervolume Improvement. - Jingda Deng; Jianyong Sun; Qingfu Zhang 001; Hui Li 020 (AAAI, 2025)

Efficient Greedy Decremental Hypervolume Subset Selection Using Space Partition Tree. - Jingda Deng; Jianyong Sun; Qingfu Zhang 001; Hui Li 020 (IEEE Trans. Evol. Comput., 2025)