Due to the increasing challenges posed by the relentless rise in the des...
Deriving a good variable selection strategy in branch-and-bound is essen...
This paper surveys the trend of leveraging machine learning to solve mix...
This paper reviews the recent literature on solving the Boolean
satisfia...
Cutting plane methods play a significant role in modern solvers for tack...
Automatic industrial scheduling, aiming at optimizing the sequence of jo...
Multi-task learning is a powerful method for solving multiple correlated...
The surrogate-assisted optimization algorithm is a promising approach fo...
Conventional research attributes the improvements of generalization abil...