Ye Tian, Ran Cheng, Xingyi Zhang, Yansen Su, and Yaochu Jin. A Strengthened Dominance Relation Considering Convergence and Diversity for Evolutionary Many-objective Optimization. IEEE Transactions on Evolutionary Computation, 2018 (in press).
Ye Tian, Xiaoshu Xiang, Xingyi Zhang, Ran Cheng and Yaochu Jin. Sampling Reference Points on the Pareto Fronts of Benchmark Multi-Objective Optimization Problems. IEEE Congress on Evolutionary Computation (CEC'2018) ,Rio de Janeiro, Brazil, July 2018.
Murillo Carneiro, Thiago Cupertino, Ran Cheng, Yaochu Jin and Liang Zhao. Nature-Inspired Graph Optimization for Dimensionality Reduction. International Conference on Tools with Artificial Intelligence(ICTAI'2017), Boston, Massachusetts, USA, November 2017.
Liangli Zhen, Miqing Li, Ran Cheng, Dezhong Peng, Xin Yao. Adjusting Parallel Coordinates for Investigating Multi-Objective Search. Proceedings of the 11th International Conference on Simulated Evolution and Learning (SEAL’2017), Shenzhen, China, November 2017. [PDF]
Ran Cheng, Miqing Li and Xin Yao. Parallel Peaks: A Visualization Method for Benchmark Studies of Multimodal Optimization. IEEE Congress on Evolutionary Computation (CEC'2017), Donostia - San Sebastián, Spain, June 2017. [PDF] [Matlab Code]
Chengzhi Wang, Jinliang Ding, Ran Cheng, Changxin Liu and Tianyou Chai. Data-Driven Surrogate-Assisted Multi-Objective Optimization of Complex Beneficiation Operational Process. World Congress of the International Federation of Automatic Control (IFAC'2017), Toulouse, France, July 2017.