Abstract
A genetic algorithm for the solution of real-life production scheduling problems is presented in this paper. The approach is based on the incorporation of a knowledge-based scheduling system into the evaluation procedure of a standard genetic algorithm. The knowledge-based system plays the role of the application environment and guarantees the feasibility of the generated schedules. The resultant genetic algorithm is applicable to a great variety of real-world scheduling problems by virtue of the employment of a knowledge-based system which has already been proven to work well under realistic application conditions.
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