Exploring uncertainty relation and its connection with coherence under the Heisenberg spin model with the Dzyaloshinskii-Moriya interaction. - Fei Ming; Dong Wang 012; Wei-Nan Shi; Ai-Jun Huang; Ming-Ming Du; Wen-Yang Sun; Liu Ye (Quantum Inf. Process., 2018)

Decoherence effect on quantum-memory-assisted entropic uncertainty relations. - Fei Ming; Dong Wang 012; Ai-Jun Huang; Wen-Yang Sun; Liu Ye (Quantum Inf. Process., 2018)

Entropic uncertainty relations in the Heisenberg XXZ model and its controlling via filtering operations. - Fei Ming; Dong Wang 012; Wei-Nan Shi; Ai-Jun Huang; Wen-Yang Sun; Liu Ye (Quantum Inf. Process., 2018)

Probing entropic uncertainty relations under a two-atom system coupled with structured bosonic reservoirs. - Dong Wang 012; Wei-Nan Shi; Ross D. Hoehn; Fei Ming; Wen-Yang Sun; Liu Ye; Sabre Kais (Quantum Inf. Process., 2018)

Entropic uncertainty relations in the spin-1 Heisenberg model. - Wei-Nan Shi; Fei Ming; Dong Wang 012; Liu Ye (Quantum Inf. Process., 2019)

Exploring maximal steered coherence and entanglement via quantum steering ellipsoid framework. - Huan Yang; Zhi-Yong Ding; Wen-Yang Sun; Fei Ming; Xiao-Gang Fan; Dong Wang 012; Chang-Jin Zhang; Liu Ye (Quantum Inf. Process., 2019)

Visualizing coherence, Bell-nonlocality and their interrelation for two-qubit X states in quantum steering ellipsoid formalism. - Huan Yang; Zhi-Yong Ding; Wen-Yang Sun; Fei Ming; Dong Wang 012; Chang-Jin Zhang; Liu Ye (Quantum Inf. Process., 2019)

A simple two-stage evolutionary algorithm for constrained multi-objective optimization. - Fei Ming; Wenyin Gong; Huixiang Zhen; Shuijia Li; Ling Wang 001; Zuowen Liao (Knowl. Based Syst., 2021)

A two-stage evolutionary algorithm based on three indicators for constrained multi-objective optimization. - Jun Dong; Wenyin Gong; Fei Ming; Ling Wang 001 (Expert Syst. Appl., 2022)

Constrained multi-objective evolutionary algorithm with an improved two-archive strategy. - Wei Li 058; Wenyin Gong; Fei Ming; Ling Wang 001 (Knowl. Based Syst., 2022)

A tri-population based co-evolutionary framework for constrained multi-objective optimization problems. - Fei Ming; Wenyin Gong; Ling Wang 001; Chao Lu 008 (Swarm Evol. Comput., 2022)

Constrained multi-objective optimization via two archives assisted push-pull evolutionary algorithm. - Cifeng Qin; Fei Ming; Wenyin Gong; Qiong Gu (Swarm Evol. Comput., 2022)

An Ensemble Framework of Evolutionary Algorithm for Constrained Multi-Objective Optimization. - Junhua Ku; Fei Ming; Wenyin Gong (Symmetry, 2022)

A Two-Stage Evolutionary Algorithm With Balanced Convergence and Diversity for Many-Objective Optimization. - Fei Ming; Wenyin Gong; Ling Wang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2022)

A Multi-task Framework for Solving Multimodal Multiobjective Optimization Problems. - Xinyi Wu; Fei Ming; Wenyin Gong (ICONIP (3), 2023)

MToP: A MATLAB Optimization Platform for Evolutionary Multitasking. - Yanchi Li; Wenyin Gong; Fei Ming; Tingyu Zhang; Shuijia Li; Qiong Gu (CoRR, 2023)

Handling constrained many-objective optimization problems via determinantal point processes. - Fei Ming; Wenyin Gong; Shuijia Li; Ling Wang 001; Zuowen Liao (Inf. Sci., 2023)

Constrained multimodal multi-objective optimization: Test problem construction and algorithm design. - Fei Ming; Wenyin Gong; Yueping Yang; Zuowen Liao (Swarm Evol. Comput., 2023)

A Constrained Many-Objective Optimization Evolutionary Algorithm With Enhanced Mating and Environmental Selections. - Fei Ming; Wenyin Gong; Ling Wang 001; Liang Gao 001 (IEEE Trans. Cybern., 2023)

A tri-stage competitive swarm optimizer for constrained multi-objective optimization. - Jun Dong; Wenyin Gong; Fei Ming (Appl. Intell., 2023)

Two-Stage Data-Driven Evolutionary Optimization for High-Dimensional Expensive Problems. - Huixiang Zhen; Wenyin Gong; Ling Wang 001; Fei Ming; Zuowen Liao (IEEE Trans. Cybern., 2023)

Balancing Convergence and Diversity in Objective and Decision Spaces for Multimodal Multi-Objective Optimization. - Fei Ming; Wenyin Gong; Ling Wang 001; Liang Gao 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Adaptive Auxiliary Task Selection for Multitasking-Assisted Constrained Multi-Objective Optimization [Feature]. - Fei Ming; Wenyin Gong; Liang Gao 001 (IEEE Comput. Intell. Mag., 2023)

A Competitive and Cooperative Swarm Optimizer for Constrained Multiobjective Optimization Problems. - Fei Ming; Wenyin Gong; Dongcheng Li 001; Ling Wang 001; Liang Gao 001 (IEEE Trans. Evol. Comput., 2023)

Multimodal multi-objective optimization with multi-stage-based evolutionary algorithm. - Tianyong Wu; Fei Ming; Hao Zhang; Qiying Yang; Wenyin Gong (Memetic Comput., 2023)

A Constraint-Handling Technique for Decomposition-Based Constrained Many-Objective Evolutionary Algorithms. - Fei Ming; Wenyin Gong; Ling Wang 001; Liang Gao 001 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Constrained Multi-objective Optimization with Deep Reinforcement Learning Assisted Operator Selection. - Fei Ming; Wenyin Gong; Ling Wang 001; Yaochu Jin (CoRR, 2024)

Constrained multi-objective optimization evolutionary algorithm for real-world continuous mechanical design problems. - Fei Ming; Wenyin Gong; Huixiang Zhen; Ling Wang 001; Liang Gao 001 (Eng. Appl. Artif. Intell., 2024)

Bi-directional search based on constraint relaxation for constrained multi-objective optimization problems with large infeasible regions. - Yubo Wang; Kuihua Huang; Wenyin Gong; Fei Ming (Expert Syst. Appl., 2024)

A Q-learning memetic algorithm for energy-efficient heterogeneous distributed assembly permutation flowshop scheduling considering priorities. - Cong Luo; Wenyin Gong; Fei Ming; Chao Lu 008 (Swarm Evol. Comput., 2024)

Growing Neural Gas Network-based surrogate-assisted Pareto set learning for multimodal multi-objective optimization. - Fei Ming; Wenyin Gong; Yaochu Jin (Swarm Evol. Comput., 2024)

Constrained multi-objective optimization with dual-swarm assisted competitive swarm optimizer. - Yubo Wang; Chengyu Hu; Wenyin Gong; Fei Ming (Swarm Evol. Comput., 2024)

Multimodal multi-objective optimization via determinantal point process-assisted evolutionary algorithm. - Xinyu Cheng; Wenyin Gong; Fei Ming; Xiaofang Zhu (Neural Comput. Appl., 2024)

Even Search in a Promising Region for Constrained Multi-Objective Optimization. - Fei Ming; Wenyin Gong; Yaochu Jin (IEEE CAA J. Autom. Sinica, 2024)

Constrained Multiobjective Optimization via Multitasking and Knowledge Transfer. - Fei Ming; Wenyin Gong; Ling Wang 001; Liang Gao 001 (IEEE Trans. Evol. Comput., 2024)

Multi-stage multiform optimization for constrained multi-objective optimization. - Pengyun Feng; Fei Ming; Wenyin Gong (Neural Comput. Appl., 2024)

Constrained Multiobjective Optimization via Relaxations on Both Constraints and Objectives. - Fei Ming; Bing Xue 001; Mengjie Zhang 001; Wenyin Gong; Huixiang Zhen (IEEE Trans. Artif. Intell., 2024)

Solving Multimodal Multi-objective Optimization Problems in Limited Time. - Fei Ming; Bing Xue 001; Wenyin Gong; Mengjie Zhang 001 (CEC, 2025)

Multimodal multi-objective optimization via multi-operator adaptation and clustering-based environmental selection. - Xinyi Wu; Fei Ming; Wenyin Gong; Bolin Liao; Yuanyuan Guo (Swarm Evol. Comput., 2025)

Competitive Multitasking for Computational Resource Allocation in Evolutionary-Constrained Multiobjective Optimization. - Xiaoliang Chu; Fei Ming; Wenyin Gong (IEEE Trans. Evol. Comput., 2025)