The problem of learning the structure of Bayesian networks from complete discrete data with a limit on parent set size is considered. Learning is cast explicitly as an optimisatio...
Finite-domain constraint programming can be used to solve a wide range of problems by first modelling the problem as a set of constraints that characterise the problem’s solutio...
Abstract. Logic-based Benders decomposition can combine mixed integer programming and constraint programming to solve planning and scheduling problems much faster than either metho...
Most traditional routing problems assume perfect operability of all arcs and nodes. However, when independent arc failure probabilities exist, a secondary objective must be presen...
This paper presents a parameter-free integer-programming based algorithm for the global resolution of a linear program with linear complementarity constraints (LPCC). The cornersto...
Jing Hu, John E. Mitchell, Jong-Shi Pang, Kristin ...