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cs.LG2026
A Decoupled Basis-Vector-Driven Generative Framework for Dynamic Multi-Objective Optimization
Yaoming Yang, Shuai Wang, Bingdong Li +2
Dynamic multi-objective optimization requires continuous tracking of moving Pareto fronts. Existing methods struggle with irregular mutations and data sparsity, primarily facing th…
cs.LG2020
Resource-Aware Pareto-Optimal Automated Machine Learning Platform
Yao Yang, Andrew Nam, Mohamad M. Nasr-Azadani +1
In this study, we introduce a novel platform Resource-Aware AutoML (RA-AutoML) which enables flexible and generalized algorithms to build machine learning models subjected to multi…