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Production scheduling and rescheduling with genetic algorithms

Production scheduling and rescheduling with genetic algorithms

Evolutionary Computation 7(1): 1-17

A general model for job shop scheduling is described which applies to static, dynamic and non-deterministic production environments. Next, a Genetic Algorithm is presented which solves the job shop scheduling problem. This algorithm is tested in a dynamic environment under different workload situations. Thereby, a highly efficient decoding procedure is proposed which strongly improves the quality of schedules. Finally, this technique is tested for scheduling and rescheduling in a non-deterministic environment. It is shown by experiment that conventional methods of production control are clearly outperformed at reasonable run-time costs.

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Accession: 011204631

Download citation: RISBibTeXText

PMID: 10199993

DOI: 10.1162/evco.1999.7.1.1

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