Investigating the use of genetic programming for a classic one-machine scheduling problem
Genetic programming has rarely been applied to manufacturing optimisation problems. In this paper the potential use of genetic programming for the solution of the one-machine total tardiness problem is investigated. Genetic programming is utilised for the evolution of scheduling policies in the form of dispatching rules. These rules are trained to cope with different levels of tardiness and tightness of due dates.
genetic programming scheduling manufacturing optimisation tardiness evolutionary computation