Abstract: In real life, there are many problems with conditional constraints, which can be regarded as constrained optimization problems. The difficulty in solving this type of problem lies in how to ...

Abstract: In data-driven fault diagnosis, feature selection not only reduces model complexity but also plays a pivotal role in improving prediction accuracy. Existing studies typically employ binary ...