Criteria evaluation considering the current time used by a genetic scheduling algorithm for changeover and tardiness reduction

The evaluation of iterative schedulers like genetic algorithms depends on different criteria like tardiness of jobs, changeover time, capacity load etc. The value of these criteria depends not on the current time. But for a person who is responsible for production scheduling capacity overload tomorrow is more important than in two month for example. This paper describes an evaluation procedure with relevance of the job operations to the current time point and a method to guide the algorithms to optimize the related operations prior.