In real-life temporal scenarios, uncertainty and preferences are often essential, coexisting aspects. We present a formalism where temporal constraints with both preferences and un...
Francesca Rossi, Kristen Brent Venable, Neil Yorke...
Preferences are useful when the space of feasible solutions of a given problem is dense but not all these solutions are equivalent w.r.t. some additional requirements. In this case...
Claudia Zepeda, Mauricio Osorio, Juan Carlos Nieve...
Ridership is a key goal in the transit industry. Conventional transit analysis focuses
on two types of users—captive and choice riders—but rarely aims to understand the
prefe...
Most research in learning for planning has concentrated on efficiency gains. Another important goal is improving the quality of final plans. Learning to improve plan quality has b...
This paper presents a proof-of-concept discrete-event simulation model for examining the ability of the Canadian Forces (CF) to sustain operations, from a human resources perspect...