Publications

选择年份  2021 2020  2019  2018

2021

Journal Papers

  1. Danial YazdaniRan Cheng*, Donya Yazdani, Jurgen Branke, Yaochu Jin and Xin Yao. A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades – Part A. IEEE Transactions on Evolutionary Computation, in Press.
  2. Danial YazdaniRan Cheng*, Donya Yazdani, Jurgen Branke, Yaochu Jin and Xin Yao. A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades – Part B. IEEE Transactions on Evolutionary Computation, in Press.
  3. Haiping Ma, Haoyu Wei, Ye Tian, Ran Cheng and Xingyi Zhang. A Multi-stage Evolutionary Algorithm for Multi-objective Optimization with Complex Constraints. Information Sciences, in Press.
  4. Zhichao Lu, Gautam Sreekumar, Erik Goodman, Wolfgang Banzhaf, Kalyanmoy Deb and Vishnu Naresh Boddeti. Neural Architecture Transfer. IEEE Transactions on Pattern Analysis and Machine Intelligence, in Press.
  5. Cheng HeRan Cheng*, Ye Tian, Xingyi Zhang, Kay Chen Tan and Yaochu Jin. Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization. IEEE Transactions on Evolutionary Computation, in Press.
  6. Linqiang Pan, Wenting Xu, Lianghao Li, Cheng He*, and Ran Cheng*. Adaptive Simulated Binary Crossover for Rotated Multi-Objective Optimization. Swarm and Evolutionary Computation, 60: 100759, 2021.

Conference Papers

  1. Cheng He and Ran Cheng*. Population Sizing of Evolutionary Large-Scale Multiobjective Optimization. International Conference Series on Evolutionary Multi-Criterion Optimization (EMO), 2021.
  2. Jianqing Lin, Cheng He, and Ran Cheng*. Dimension Dropout for Evolutionary High-Dimensional Expensive Multiobjective Optimization. International Conference Series on Evolutionary Multi-Criterion Optimization (EMO), 2021.
  3. Shengran Hu, Ran Cheng*, Cheng He, and Zhichao Lu. Multi-Objective Neural Architecture Search with Almost No Training. International Conference Series on Evolutionary Multi-Criterion Optimization (EMO), 2021.
  4. Lianghao Li, Cheng He*, Ran Cheng, and Linqiang Pan. Manifold Learning Inspired Mating Restriction for Evolutionary Constrained Multiobjective Optimization. International Conference Series on Evolutionary Multi-Criterion Optimization (EMO), 2021.
  5. Changwu Huang, Lianghao Li, Cheng He*, Ran Cheng, and Xin Yao. Operator-Adapted Evolutionary Large-Scale Multiobjective Optimization for Voltage Transformer Ratio Error Estimation. International Conference Series on Evolutionary Multi-Criterion Optimization (EMO), 2021.

2020

Journal Papers

  1. Jinjin Xu, Wenli Du, Yaochu Jin, Wangli He, and Ran Cheng. Ternary Compression for Communication-Efficient Federated Learning. IEEE Transactions on Neural Networks and Learning Systems, in Press.
  2. Haoyu Zhang, Yaochu Jin, Ran Cheng, and Kuangrong Hao. Efficient Evolutionary Search of Attention Convolutional Networks via Sampled Training and Node Inheritance. IEEE Transactions on Evolutionary Computation, in Press.
  3. Danial YazdaniRan Cheng*Cheng He, and Jurgen Branke. Adaptive Control of Sub-Populations in Evolutionary Dynamic Optimization. IEEE Transactions on Cybernetics, in Press.
  4. Danial Yazdani, Nabi Omidvar, Ran Cheng*, Juergen Branke, Trung Thanh Nguyen, and Xin Yao. Benchmarking Continuous Dynamic Optimization: Survey and Generalized Test Suite. IEEE Transactions on Cybernetics, in Press. [code]
  5. Yanguo Kong*, Xiangyi Kong*, Cheng He, Changsong Liu, Liting Wang, Lijuan Su, Jun Gao, Qi Guo, and Ran Cheng*. Constructing an Automatic Diagnosis and Severity-Classification Model for Acromegaly Using Facial Photographs by Deep Learning. Journal of Hematology & Oncology, in Press.
  6. Cheng He, Ran Cheng*, and Danial Yazdani. Adaptive Offspring Generation for Evolutionary Large-Scale Multiobjective Optimization. IEEE Transactions on Systems, Man and Cybernetics: Systems, in Press.
  7. Zhanglu HouCheng He, and Ran Cheng*. Reformulating Preferences into Constraints for Evolutionary Multi- and Many-Objective Optimization. Information Sciences, 541, 1-15, 2020.
  8. Cheng HeShihua HuangRan Cheng*, Kay Chen Tan, and Yaochu Jin. Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs). IEEE Transactions on Cybernetics, in Press. [code]
  9. Cheng HeRan Cheng*, Chuanji Zhang, Ye Tian, Qin Chen, and Xin Yao. Evolutionary Large-Scale Multiobjective Optimization for Ratio Error Estimation of Voltage Transformers. IEEE Transactions on Evolutionary Computation, 24(5), 868-881, 2020.
  10. Ye Tian, Xingyi Zhang*, Ran Cheng*Cheng He, and Yaochu Jin. Guiding Evolutionary Multiobjective Optimization with Generic Front Modeling. IEEE Transactions on Cybernetics, 50 (3), 1106-1119, 2020.
  11. Huangke Chen, Ran Cheng*, Jinming Wen, Haifeng Li, and Jian Wen. Solving large-scale many-objective optimization problems by covariance matrix adaptation evolution strategy with scalable small subpopulationsInformation Sciences, 509, 457-469, 2020.

Conference Papers

  1. Cheng HeRan Cheng*, Ye Tian, and Xingyi Zhang. Iterated Problem Reformulation for Evolutionary Large-Scale Multiobjective Optimization. IEEE Congress on Evolutionary Computation (CEC), 2020.
  2. Ye Tian, Ran Cheng, Xingyi Zhang, and Yaochu Jin. Techniques for Accelerating Multi-Objective Evolutionary Algorithms in PlatEMO. IEEE Congress on Evolutionary Computation (CEC), 2020.

2019

Journal Papers

  1. Linqiang Pan, Lianghao Li, Cheng He*, and Kay Chen Tan. A Subregion Division-Based Evolutionary Algorithm with Effective Mating Selection for Many-Objective Optimization. IEEE Transactions on Cybernetics, in Press.
  2. Linqiang Pan, Lianghao Li, Ran ChengCheng He*, and Kay Chen Tan. Manifold Learning Inspired Mating Restriction for Evolutionary Multi-Objective Optimization with Complicated Pareto Sets. IEEE Transactions on Cybernetics, in Press.
  3. Ye Tian, Cheng HeRan Cheng, and Xingyi Zhang. A Multi-Stage Evolutionary Algorithm for Better Diversity Preservation in Multi-Objective Optimization. IEEE Transactions on Systems, Man and Cybernetics: Systems, in Press.
  4. Cheng He, Ye Tian, Handing Wang, and Yaochu Jin. A Repository of Real-World Datasets for Data-Driven Evolutionary Multiobjective Optimization. Complex & Intelligent Systems, in Press.
  5. Huangke Chen, Ran Cheng*, Witold Pedrycz, and Yaochu Jin. Solving Many-Objective Optimization Problems via Multistage Evolutionary Search. IEEE Transactions on Systems, Man and Cybernetics: Systems, in Press.
  6. Danial Yazdani, M. N. Omidvar, J. Branke, T. T. Nguyen, and Xin Yao. Scaling up dynamic optimization problems: A divide-and-conquer approach. IEEE Transactions on Evolutionary Computation, in Press.
  7. Cheng He, Lianghao Li, Ye Tian, Xingyi Zhang, Ran Cheng*, Yaochu Jin, and Xin Yao. Accelerating Large-scale Multi-objective Optimization via Problem Reformulation. IEEE Transactions on Evolutionary Computation, 23 (6), 949-961, 2019.
  8. Murillo G Carneiro, Ran Cheng, Liang Zhao, and Yaochu Jin. Particle swarm optimization for network-based data classification. Neural Networks, 110:243-255, 2019.
  9. Danial Yazdani, M. N. Omidvar, I. Deplano, C. Lersteau, A. Makki, J. Wang, and T. T. Nguyen. Real-time seat allocation for minimizing boarding/alighting time and improving quality of service and safety for passengers. Transportation  Research Part C: Emerging Technologies, vol. 103, pp. 158–173, 2019.

Conference Papers

  1. Yiming Chen, Tianci Pan, Cheng He*, and Ran Cheng*. Efficient Evolutionary Deep Neural Architecture Search (NAS) by Noisy Network Morphism Mutation. The 14th International Conference on Bio-inspired Computing: Theories and Applications (BIC-TA), 2019.
  2. Hao TanCheng He*, Dexuan Tang, and Ran Cheng*. Efficient Evolutionary Neural Architecture Search (NAS) by Modular Inheritable Crossover. The 14th International Conference on Bio-inspired Computing: Theories and Applications (BIC-TA), 2019.
  3. Kanzhen Wan, Cheng He, Auraham Camacho, Ke Shang, Ran Cheng, and Hisao Ishibuchi. A Hybrid Surrogate-Assisted Evolutionary Algorithm for Computationally Expensive Many-Objective OptimizationIEEE Congress on Evolutionary Computation (CEC), 2019.
  4. Cheng HeRan Cheng*, Yaochu Jin, and Xin Yao. Surrogate-Assisted Expensive Many-Objective Optimization by Model FusionIEEE Congress on Evolutionary Computation (CEC), 2019.

2018

Journal Papers

  1. Ran Cheng, MN Omidvar, AH Gandomi, B Sendhoff, S Menzel, and Xin Yao. Solving Incremental Optimization Problems via Cooperative CoevolutionIEEE Transactions on Evolutionary Computation, 23 (5), 762-775, 2018. [code]
  2. Ran Cheng*, Cheng He, Yaochu Jin, and Xin Yao. Model-based evolutionary algorithms: a short survey. Complex & Intelligent Systems, 4 (4), 283-292, 2018.