In this paper, we model the constrained workflow scheduling in a dynamic Cloud environment as a dynamic multi-objective optimization problem with preferences, and propose a transfer learning based ...

This paper proposes a learning guided parameter setting method for constrained multi-objective optimization. To be more specific, the proposed method can generate penalty factors adaptively, which is ...