Abstract
Scheduling in chemical flowshops is one of a number of important industrial problems which are potentially amenable to solution using the genetic algorithm. However the problem is not trivial: flowshops run continuously, and for efficient operation those controlling them must be able to adjust the order in which products are made as new requests are received. In addition, there are in principle efficiency gains available if the topology of the flowshop can be varied, but the determination of a suitable topology is also a demanding problem. In this paper we discuss how a genetic algorithm can be implemented to handle an industrial flowshop, taking account of these requirements.
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© 1994 Springer-Verlag Berlin Heidelberg
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Cartwright, H.M., Tuson, A.L. (1994). Genetic algorithms and flowshop scheduling: towards the development of a real-time process control system. In: Fogarty, T.C. (eds) Evolutionary Computing. AISB EC 1994. Lecture Notes in Computer Science, vol 865. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58483-8_21
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DOI: https://doi.org/10.1007/3-540-58483-8_21
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