Design of a learning fuzzy production system to solve an NP-hard real-time assignment problem

This paper presents the design of a learning fuzzy production system to solve an NP-hard problem consisting of a set of real-time preemptible tasks to be assigned to a set of heterogeneous processors, with placement, resource, communications and time constraints. Time to obtain the first solution and the number of solutions found for different known problems are given.