2 papers
cs.NE2026
Training-Free Diffusion-Driven Modeling of Pareto Set Evolution for Dynamic Multiobjective Optimization
Jian Guan, Huolong Wu, Zhenzhong Wang +2
Dynamic multiobjective optimization problems (DMOPs) feature time-varying objectives, which cause the Pareto optimal solution (POS) set to drift over time and make it difficult to…
cs.NE2025
Enhancing Generalization and Scalability for Multi-Objective Optimization with Population Pre-Training
Haokai Hong, Liang Feng, Min Jiang +1
Multi-objective optimization problems (MOPs) require the simultaneous optimization of conflicting objectives. Real-world MOPs often exhibit complex characteristics, including high-…