Hui Li

发表

MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition

Qingfu Zhang, Hui Li, Qingfu Zhang, 2007, IEEE Transactions on Evolutionary Computation.

An Adaptive Evolutionary Multi-Objective Approach Based on Simulated Annealing

Hui Li, Dario Landa Silva, Hui Li, 2011, Evolutionary Computation.

MOEA/D with chain-based random local search for sparse optimization

Qingfu Zhang, Jianyong Sun, Hui Li, 2018, Soft Computing.

Multiobjective evolutionary algorithms: A survey of the state of the art

Qingfu Zhang, Aimin Zhou, Ponnuthurai N. Suganthan, 2011, Swarm Evol. Comput..

A differential prediction model for evolutionary dynamic multiobjective optimization

Erik D. Goodman, Hui Li, Lihong Xu, 2018, GECCO.

A Preference-Based Multiobjective Evolutionary Approach for Sparse Optimization

Qingfu Zhang, Hui Li, Jingda Deng, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II

Qingfu Zhang, Hui Li, Qingfu Zhang, 2009, IEEE Transactions on Evolutionary Computation.

Push and Pull Search for Solving Constrained Multi-objective Optimization Problems

Qingfu Zhang, Kalyanmoy Deb, Erik D. Goodman, 2017, Swarm Evol. Comput..

Difficulty Adjustable and Scalable Constrained Multiobjective Test Problem Toolkit

Qingfu Zhang, Kalyanmoy Deb, Erik D. Goodman, 2016, Evolutionary Computation.

Challenges for evolutionary multiobjective optimization algorithms in solving variable-length problems

Kalyanmoy Deb, Hui Li, K. Deb, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

Comparison between MOEA/D and NSGA-III on a set of novel many and multi-objective benchmark problems with challenging difficulties

Qingfu Zhang, Kalyanmoy Deb, Lei Chen, 2019, Swarm Evol. Comput..

An improved epsilon constraint handling method embedded in MOEA/D for constrained multi-objective optimization problems

Zhaoquan Cai, Hui Li, Xinye Cai, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instances

Qingfu Zhang, Hui Li, Wudong Liu, 2009, 2009 IEEE Congress on Evolutionary Computation.

Biased Multiobjective Optimization and Decomposition Algorithm

Qingfu Zhang, Hui Li, Jingda Deng, 2017, IEEE Transactions on Cybernetics.

Hybrid Estimation of Distribution Algorithm for Multiobjective Knapsack Problem

Qingfu Zhang, Hui Li, Edward P. K. Tsang, 2004, EvoCOP.

Variable-Length Pareto Optimization via Decomposition-Based Evolutionary Multiobjective Algorithm

Qingfu Zhang, Kalyanmoy Deb, Hui Li, 2019, IEEE Transactions on Evolutionary Computation.

A First-Order Difference Model-Based Evolutionary Dynamic Multiobjective Optimization

Erik D. Goodman, Hui Li, Lihong Xu, 2017, SEAL.

Angle-based constrained dominance principle in MOEA/D for constrained multi-objective optimization problems

Hui Li, Xinye Cai, Zhun Fan, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Adaptive Epsilon dominance in decomposition-based multiobjective evolutionary algorithm

Qingfu Zhang, Jianyong Sun, Hui Li, 2019, Swarm Evol. Comput..

On the use of two reference points in decomposition based multiobjective evolutionary algorithms

Qingfu Zhang, Hisao Ishibuchi, Licheng Jiao, 2017, Swarm Evol. Comput..

Comparison between MOEA/D and NSGA-II on the Multi-Objective Travelling Salesman Problem

Qingfu Zhang, Hui Li, Wei Peng, 2009 .

A Multiobjective Differential Evolution Based on Decomposition for Multiobjective Optimization with Variable Linkages

Qingfu Zhang, Hui Li, Qingfu Zhang, 2006, PPSN.

A multi-phase multiobjective approach based on decomposition for sparse reconstruction

Qingfu Zhang, Zongben Xu, Yuanyuan Fan, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

MOEA/D with Iterative Thresholding Algorithm for Sparse Optimization Problems

Qingfu Zhang, Zongben Xu, Hui Li, 2012, PPSN.

A Multiobjective Approach Based on Gaussian Mixture Clustering for Sparse Reconstruction

Jianyong Sun, Deyu Meng, Hui Li, 2019, IEEE Access.

A Multi-objective Evolutionary Algorithm Based on Decomposition

Minjie Zhang, Kashem M. Muttaqi, Danny Sutanto, 2006 .

An Adaptive Parameter Tuning Strategy for Many-objective Evolutionary Algorithm

Jianyong Sun, Wei Zheng, Hui Li, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

Multiobjective test problems with complicated Pareto fronts: Difficulties in degeneracy

Qingfu Zhang, Hui Li, Jingda Deng, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).