RM-SAEA: Regularity Model Based Surrogate-Assisted Evolutionary Algorithms for Expensive Multi-Objective Optimization. - Yongfan Lu; Bingdong Li; Hong Qian; Wenjing Hong; Peng Yang 008; Aimin Zhou (GECCO, 2023)

A Population Cooperation based Particle Swarm Optimization algorithm for large-scale multi-objective optimization. - Yongfan Lu; Bingdong Li; Shengcai Liu; Aimin Zhou (Swarm Evol. Comput., 2023)

Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective Optimization. - Yongfan Lu; Bingdong Li; Aimin Zhou (AAAI, 2024)

Towards Geometry-Aware Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization. - Yongfan Lu; Zixiang Di; Bingdong Li; Shengcai Liu; Hong Qian; Peng Yang 008; Ke Tang 001; Aimin Zhou (CoRR, 2024)

Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models. - Bingdong Li; Zixiang Di; Yongfan Lu; Hong Qian; Feng Wang; Peng Yang 008; Ke Tang 001; Aimin Zhou (CoRR, 2024)

Regularity model based offspring generation in surrogate-assisted evolutionary algorithms for expensive multi-objective optimization. - Bingdong Li; Yongfan Lu; Hong Qian; Wenjing Hong; Peng Yang 008; Aimin Zhou (Swarm Evol. Comput., 2024)

Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models. - Bingdong Li; Zixiang Di; Yongfan Lu; Hong Qian; Feng Wang; Peng Yang; Ke Tang 001; Aimin Zhou (AAAI, 2025)