This paper describes a new hybrid method based on the application of the Population Training Algorithm (PTA) and linear programming (LP) for generation of schedules for drivers in...
Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
Abstract. Greedy machine learning algorithms suffer from shortsightedness, potentially returning suboptimal models due to limited exploration of the search space. Greedy search mis...
The purpose of this paper is to provide a preliminary report on the rst broad-based experimental comparison of modern heuristics for the asymmetric traveling salesmen problem ATSP....
Jill Cirasella, David S. Johnson, Lyle A. McGeoch,...
Abstract. The general timetabling problem is an assignment of activities to xed time intervals, adhering to a prede ned set of resource availabilities. Timetabling problems are di ...