Publications

选择年份   2020  2019  2018

2020

Journal Papers

  1. 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]
  2. 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.
  3. 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.
  4. 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.
  5. Zhanglu Hou, Cheng He, and Ran Cheng*. Reformulating Preferences into Constraints for Evolutionary Multi- and Many-Objective Optimization. Information Sciences, 541, 1-15, 2020.
  6. Cheng He, Shihua HuangRan Cheng*, Kay Chen Tan, and Yaochu Jin. Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs). IEEE Transactions on Cybernetics, in Press. [code]
  7. Cheng He, Ran 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.
  8. 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.
  9. 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 He, Ran 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 Cheng, Cheng 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 Tan, Cheng 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 He, Ran 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.